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All publications in 2014
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Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem
Masrour Zoghi, Shimon Whiteson, Remi Munos and Maarten D. Rijke
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy
Dengyong Zhou, Qiang Liu, John Platt and Christopher Meek
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing
Yuan Zhou, Xi Chen and Jian Li
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Robust Principal Component Analysis with Complex Noise
Qian Zhao, Deyu Meng, Zongben Xu, Wangmeng Zuo and Lei Zhang
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Asynchronous Distributed ADMM for Consensus Optimization
Ruiliang Zhang and James Kwok
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Composite Quantization for Approximate Nearest Neighbor Search
Ting Zhang, Chao Du and Jingdong Wang
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Efficient Algorithms for Robust One-bit Compressive Sensing
Lijun Zhang, Jinfeng Yi and Rong Jin
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Saddle Points and Accelerated Perceptron Algorithms
Adams W. Yu, Fatma Kilinc-karzan and Jaime Carbonell
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Circulant Binary Embedding
Felix Yu, Sanjiv Kumar, Yunchao Gong and Shih-fu Chang
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization
Xiaotong Yuan, Ping Li and Tong Zhang
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data
Jinfeng Yi, Lijun Zhang, Jun Wang, Rong Jin and Anil Jain
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Alternating Minimization for Mixed Linear Regression
Xinyang Yi, Constantine Caramanis and Sujay Sanghavi
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Optimization Equivalence of Divergences Improves Neighbor Embedding
Zhirong Yang, Jaakko Peltonen and Samuel Kaski
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Elementary Estimators for Sparse Covariance Matrices and other Structured Moments
Eunho Yang, Aurelie Lozano and Pradeep Ravikumar
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Elementary Estimators for High-Dimensional Linear Regression
Eunho Yang, Aurelie Lozano and Pradeep Ravikumar
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising
Ling Yan, Wu-jun Li, Gui-rong Xue and Dingyi Han
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Large-margin Weakly Supervised Dimensionality Reduction
Chang Xu, Dacheng Tao, Chao Xu and Yong Rui
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Large-margin Weakly Supervised Dimensionality Reduction
Chang Xu, Dacheng Tao, Chao Xu and Yong Rui
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Learning the Consistent Behavior of Common Users for Target Node Prediction across Social Networks
Shan-hung Wu, Hao-heng Chien, Kuan-hua Lin and Philip Yu
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Affinity Weighted Embedding
Jason Weston, Ron Weiss and Hector Yee
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Robust Learning under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification
Junfeng Wen, Chun-nam Yu and Russell Greiner
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Fast Multi-stage Submodular Maximization
Kai Wei, Rishabh Iyer and Jeff Bilmes
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization
Hua Wang, Feiping Nie and Heng Huang
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Active Transfer Learning under Model Shift
Xuezhi Wang, Tzu-kuo Huang and Jeff Schneider
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Nonlinear Information-Theoretic Compressive Measurement Design
Liming Wang, Abolfazl Razi, Miguel Rodrigues, Robert Calderbank and Lawrence Carin
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data
Naiyan Wang and Dit-yan Yeung
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Robust Inverse Covariance Estimation under Noisy Measurements
Jun-kun Wang and Shou-de Lin
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


The Falling Factorial Basis and Its Statistical Applications
Yu-xiang Wang, Alex Smola and Ryan Tibshirani
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Scaling SVM and Least Absolute Deviations via Exact Data Reduction
Jie Wang, Peter Wonka and Jieping Ye
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Two-Stage Metric Learning
Jun Wang, Ke Sun, Fei Sha, Stéphane Marchand-maillet and Alexandros Kalousis
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models
Jie Wang, Qingyang Li, Sen Yang, Wei Fan, Peter Wonka and Jieping Ye
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Rank-One Matrix Pursuit for Matrix Completion
Zheng Wang, Ming-jun Lai, Zhaosong Lu, Wei Fan, Hasan Davulcu and Jieping Ye
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


K-means recovers ICA filters when independent components are sparse
Alon Vinnikov and Shai Shalev-shwartz
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Spectral Bandits for Smooth Graph Functions
Michal Valko, Remi Munos, Branislav Kveton and Tomáš Kocák
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Making Fisher Discriminant Analysis Scalable
Bojun Tu, Zhihua Zhang, Shusen Wang and Hui Qian
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


A Deep Semi-NMF Model for Learning Hidden Representations
George Trigeorgis, Konstantinos Bousmalis, Stefanos Zafeiriou and Bjoern Schuller
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Statistical analysis of stochastic gradient methods for generalized linear models
Panagiotis Toulis, Edoardo Airoldi and Jason Rennie
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians
Christopher Tosh and Sanjoy Dasgupta
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


On Robustness and Regularization of Structural Support Vector Machines
Mohamad A. Torkamani and Daniel Lowd
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Doubly Stochastic Variational Bayes for non-Conjugate Inference
Michalis Titsias and Miguel Lázaro-gredilla
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


GeNGA: A Generalization of Natural Gradient Ascent with Positive and Negative Convergence Results
Philip Thomas
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Local Ordinal Embedding
Yoshikazu Terada and Ulrike V. Luxburg
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


An Analysis of State-Relevance Weights and Sampling Distributions on L1-Regularized Approximate Linear Programming Approximation Accuracy
Gavin Taylor, Connor Geer and David Piekut
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Riemannian Pursuit for Big Matrix Recovery
Mingkui Tan, Ivor W. Tsang, Li Wang, Bart Vandereycken and Sinno J. Pan
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Scaling Up Robust MDPs using Function Approximation
Aviv Tamar, Shie Mannor and Huan Xu
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Outlier Path: A Homotopy Algorithm for Robust SVM
Shinya Suzumura, Kohei Ogawa, Masashi Sugiyama and Ichiro Takeuchi
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


A new Q(lambda) with interim forward view and Monte Carlo equivalence
Rich Sutton, Ashique R. Mahmood, Doina Precup and Hado V. Hasselt
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


A Convergence Rate Analysis for LogitBoost, MART and Their Variant
Peng Sun, Tong Zhang and Jie Zhou
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Learning Mixtures of Linear Classifiers
Yuekai Sun, Stratis Ioannidis and Andrea Montanari
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


An Information Geometry of Statistical Manifold Learning
Ke Sun and Stéphane Marchand-maillet
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Structured Prediction of Network Response
Hongyu Su, Aristides Gionis and Juho Rousu
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Adaptivity and Optimism: An Improved Exponentiated Gradient Algorithm
Jacob Steinhardt and Percy Liang
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


On learning to localize objects with minimal supervision
Hyun O. Song, Ross Girshick, Stefanie Jegelka, Julien Mairal, Zaid Harchaoui and Trevor Darrell
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Nonparametric Estimation of Multi-View Latent Variable Models
Le Song, Animashree Anandkumar, Bo Dai and Bo Xie
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods
Jascha Sohl-dickstein, Ben Poole and Surya Ganguli
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Input Warping for Bayesian Optimization of Non-Stationary Functions
Jasper Snoek, Kevin Swersky, Rich Zemel and Ryan Adams
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Near-Optimally Teaching the Crowd to Classify
Adish Singla, Ilija Bogunovic, Gabor Bartok, Amin Karbasi and Andreas Krause
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Active Learning of Parameterized Skills
Bruno D. Silva, George Konidaris and Andrew Barto
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Communication-Efficient Distributed Optimization using an Approximate Newton-type Method
Ohad Shamir, Nati Srebro and Tong Zhang
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


One Practical Algorithm for Both Stochastic and Adversarial Bandits
Yevgeny Seldin and Aleksandrs Slivkins
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Kernel Adaptive Metropolis-Hastings
Dino Sejdinovic, Heiko Strathmann, Maria L. Garcia, Christophe Andrieu and Arthur Gretton
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm
Alexander Schwing, Tamir Hazan, Marc Pollefeys and Raquel Urtasun
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


A Physics-Based Model Prior for Object-Oriented MDPs
Jonathan Scholz, Martin Levihn, Charles Isbell and David Wingate
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Programming by Feedback
Marc Schoenauer, Riad Akrour, Michele Sebag and Jean-christophe Souplet
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Approximate Policy Iteration Schemes: A Comparison
Bruno Scherrer
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Latent Confusion Analysis by Normalized Gamma Construction
Issei Sato, Hisashi Kashima and Hiroshi Nakagawa
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Approximation Analysis of Stochastic Gradient Langevin Dynamics by using Fokker-Planck Equation and Ito Process
Issei Sato and Hiroshi Nakagawa
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Learning Character-level Representations for Part-of-Speech Tagging
Cicero D. Santos and Bianca Zadrozny
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Standardized Mutual Information for Clustering Comparisons: One Step Further in Adjustment for Chance
Simone Romano, James Bailey, Vinh Nguyen and Karin Verspoor
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Gaussian Process Classification and Active Learning with Multiple Annotators
Filipe Rodrigues, Francisco Pereira and Bernardete Ribeiro
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Learning Ordered Representations with Nested Dropout
Oren Rippel, Michael Gelbart and Ryan Adams
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Stochastic Backpropagation and Approximate Inference in Deep Generative Models
Danilo J. Rezende, Shakir Mohamed and Daan Wierstra
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Sparse meta-Gaussian information bottleneck
Melani Rey, Volker Roth and Thomas Fuchs
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Learning to Disentangle Factors of Variation with Manifold Interaction
Scott Reed, Kihyuk Sohn, Yuting Zhang and Honglak Lee
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Min-Max Problems on Factor Graphs
Siamak Ravanbakhsh, Christopher Srinivasa, Brendan Frey and Russell Greiner
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors
Piyush Rai, Yingjian Wang, Shengbo Guo, Gary Chen, David Dunson and Lawrence Carin
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Spectral Regularization for Max-Margin Sequence Tagging
Ariadna Quattoni, Borja Balle, Xavier Carreras and Amir Globerson
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Sparse Reinforcement Learning via Convex Optimization
Zhiwei Qin, Weichang Li and Firdaus Janoos
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Marginal Structured SVM with Hidden Variables
Wei Ping, Qiang Liu and Alex Ihler
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


A PAC-Bayesian bound for Lifelong Learning
Anastasia Pentina and Christoph Lampert
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Finding Dense Subgraphs via Low-Rank Bilinear Optimization
Dimitris Papailiopoulos, Ioannis Mitliagkas, Alexandros Dimakis and Constantine Caramanis
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Learning by Stretching Deep Networks
Gaurav Pandey and Ambedkar Dukkipati
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


A Compilation Target for Probabilistic Programming Languages
Brooks Paige and Frank Wood
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Preserving Modes and Messages via Diverse Particle Selection
Jason Pacheco, Silvia Zuffi, Michael Black and Erik Sudderth
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Putting MRFs on a Tensor Train
Alexander Novikov, Anton Rodomanov, Anton Osokin and Dmitry Vetrov
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Transductive Learning with Multi-class Volume Approximation
Gang Niu, Bo Dai, Christoffel D. Plessis and Masashi Sugiyama
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Exchangeable Variable Models
Mathias Niepert and Pedro Domingos
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Optimal Mean Robust Principal Component Analysis
Feiping Nie, Jianjun Yuan and Heng Huang
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Linear Time Solver for Primal SVM
Feiping Nie, Yizhen Huang and Heng Huang
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Multivariate Maximal Correlation Analysis
Hoang V. Nguyen, Emmanuel Müller, Jilles Vreeken, Pavel Efros and Klemens Böhm
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Model-Based Relational RL When Object Existence is Partially Observable
Vien Ngo and Marc Toussaint
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Adaptive Monte Carlo via Bandit Allocation
James Neufeld, Andras Gyorgy, Csaba Szepesvari and Dale Schuurmans
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Rectangular Tiling Process
Masahiro Nakano, Katsuhiko Ishiguro, Akisato Kimura, Takeshi Yamada and Naonori Ueda
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Probabilistic Partial Canonical Correlation Analysis
Yusuke Mukuta and Tatsuya Harada
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery
Cun Mu, Bo Huang, John Wright and Donald Goldfarb
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Neural Variational Inference and Learning in Belief Networks
Andriy Mnih and Karol Gregor
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Linear and Parallel Learning of Markov Random Fields
Yariv Mizrahi, Misha Denil and Nando D. Freitas
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Structured Recurrent Temporal Restricted Boltzmann Machines
Roni Mittelman, Benjamin Kuipers, Silvio Savarese and Honglak Lee
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Scalable and Robust Bayesian Inference via the Median Posterior
Stanislav Minsker, Sanvesh Srivastava, Lizhen Lin and David Dunson
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Learning Latent Variable Gaussian Graphical Models
Zhaoshi Meng, Brian Eriksson and Al Hero
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques
Jérémie Mary, Philippe Preux and Olivier Nicol
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Time-Regularized Interrupting Options (TRIO)
Timothy Mann, Daniel Mankowitz and Shie Mannor
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Convex Total Least Squares
Dmitry Malioutov and Nikolai Slavov
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Linear Programming for Large-Scale Markov Decision Problems
Alan Malek, Yasin Abbasi-yadkori and Peter Bartlett
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Structured Generative Models of Natural Source Code
Chris Maddison and Daniel Tarlow
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Randomized Nonlinear Component Analysis
David Lopez-paz, Suvrit Sra, Alex Smola, Zoubin Ghahramani and Bernhard Schoelkopf
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Randomized Nonlinear Component Analysis
David Lopez-paz, Suvrit Sra, Alex Smola, Zoubin Ghahramani and Bernhard Schoelkopf
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Learnability of the Superset Label Learning Problem
Liping Liu and Thomas Dietterich
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Gaussian Approximation of Collective Graphical Models
Liping Liu, Daniel Sheldon and Thomas Dietterich
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Multiple Testing under Dependence via Semiparametric Graphical Models
Jie Liu, Chunming Zhang, Elizabeth Burnside and David Page
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


An Asynchronous Parallel Stochastic Coordinate Descent Algorithm
Ji Liu, Steve Wright, Christopher Re, Victor Bittorf and Srikrishna Sridhar
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Safe Screening with Variational Inequalities and Its Application to Lasso
Jun Liu, Zheng Zhao, Jie Wang and Jieping Ye
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Stable and Efficient Representation Learning with Nonnegativity Constraints
Tsung-han Lin and H. T. Kung
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Discovering Latent Network Structure in Point Process Data
Scott Linderman and Ryan Adams
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Combinatorial Partial Monitoring Game with Linear Feedback and Its Applications
Tian Lin, Bruno Abrahao, Robert Kleinberg, John Lui and Wei Chen
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Multi-label Classification via Feature-aware Implicit Label Space Encoding
Zijia Lin, Guiguang Ding, Mingqing Hu and Jianmin Wang
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Geodesic Distance Function Learning via Heat Flow on Vector Fields
Binbin Lin, Ji Yang, Xiaofei He and Jieping Ye
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Efficient Learning of Mahalanobis Metrics for Ranking
Daryl Lim and Gert Lanckriet
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


High Order Regularization for Semi-Supervised Learning of Structured Output Problems
Yujia Li and Rich Zemel
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Coding for Random Projections
Ping Li, Michael Mitzenmacher and Anshumali Shrivastava
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Latent Semantic Representation Learning for Scene Classification
Xin Li and Yuhong Guo
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Bayesian Max-margin Multi-Task Learning with Data Augmentation
Chengtao Li, Jun Zhu and Jianfei Chen
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Learning Complex Neural Network Policies with Trajectory Optimization
Sergey Levine and Vladlen Koltun
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Dynamic Programming Boosting for Discriminative Macro-Action Discovery
Leonidas Lefakis and Francois Fleuret
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Distributed Representations of Sentences and Documents
Quoc Le and Tomas Mikolov
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Distributed Representations of Sentences and Documents
Quoc Le and Tomas Mikolov
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Stochastic Neighbor Compression
Matt Kusner, Stephen Tyree, Kilian Q. Weinberger and Kunal Agrawal
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


The f-Adjusted Graph Laplacian: a Diagonal Modification with a Geometric Interpretation
Sven Kurras, Ulrike V. Luxburg and Gilles Blanchard
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Nonparametric Estimation of Renyi Divergence and Friends
Akshay Krishnamurthy, Kirthevasan Kandasamy, Barnabas Poczos and Larry Wasserman
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


On the convergence of no-regret learning in selfish routing
Walid Krichene, Benjamin Drighès and Alexandre Bayen
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Consistency of Causal Inference under the Additive Noise Model
Samory Kpotufe, Eleni Sgouritsa, Dominik Janzing and Bernhard Schoelkopf
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


A Clockwork RNN
Jan Koutnik, Klaus Greff, Faustino Gomez and Juergen Schmidhuber
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Maximum Margin Multiclass Nearest Neighbors
Aryeh Kontorovich and Roi Weiss
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Concentration in unbounded metric spaces and algorithmic stability
Aryeh Kontorovich
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Multiresolution Matrix Factorization
Risi Kondor, Nedelina Teneva and Vikas Garg
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


A reversible infinite HMM using normalised random measures
David Knowles, Zoubin Ghahramani and Konstantina Palla
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Multimodal Neural Language Models
Ryan Kiros, Ruslan Salakhutdinov and Rich Zemel
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets
Diederik Kingma and Max Welling
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Hierarchical Dirichlet Scaling Process
Dongwoo Kim and Alice Oh
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Hard-Margin Active Linear Regression
Zohar Karnin and Elad Hazan
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Memory (and Time) Efficient Sequential Monte Carlo
Seong-hwan Jun and Alexandre Bouchard-côté
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Stochastic Variational Inference for Bayesian Time Series Models
Matthew Johnson and Alan Willsky
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Global graph kernels using geometric embeddings
Fredrik Johansson, Vinay Jethava, Devdatt Dubhashi and Chiranjib Bhattacharyya
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection
Pratik Jawanpuria, Manik Varma and Saketha Nath
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Scalable Semidefinite Relaxation for Maximum A Posterior Estimation
Qixing Huang, Yuxin Chen and Leonidas Guibas
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Multi-period Trading Prediction Markets with Connections to Machine Learning
Jinli Hu and Amos Storkey
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Heavy-tailed regression with a generalized median-of-means
Daniel Hsu and Sivan Sabato
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Cold-start Active Learning with Robust Ordinal Matrix Factorization
Neil Houlsby, Jose M. Hernandez-lobato and Zoubin Ghahramani
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


A Unified Framework for Consistency of Regularized Loss Minimizers
Jean Honorio and Tommi Jaakkola
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Nonmyopic $\epsilon$-Bayes-Optimal Active Learning of Gaussian Processes
Trong N. Hoang, Bryan Low, Patrick Jaillet and Mohan Kankanhalli
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Probabilistic Matrix Factorization with Non-random Missing Data
Jose M. Hernandez-lobato, Neil Houlsby and Zoubin Ghahramani
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices
Jose M. Hernandez-lobato, Neil Houlsby and Zoubin Ghahramani
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Inferning with High Girth Graphical Models
Uri Heinemann and Amir Globerson
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Beta Diffusion Trees
Creighton Heaukulani, David Knowles and Zoubin Ghahramani
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Concept Drift Detection Through Resampling
Maayan Harel, Shie Mannor, Ran El-yaniv and Koby Crammer
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Compact Random Feature Maps
Raffay Hamid, Ying Xiao, Alex Gittens and Dennis Decoste
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Structured Low-Rank Matrix Factorization: Optimality, Algorithm, and Applications to Image Processing
Benjamin Haeffele, Eric Young and Rene Vidal
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Exponential Family Matrix Completion under Structural Constraints
Suriya Gunasekar, Pradeep Ravikumar and Joydeep Ghosh
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Deep AutoRegressive Networks
Karol Gregor, Ivo Danihelka, Andriy Mnih, Charles Blundell and Daan Wierstra
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Towards End-To-End Speech Recognition with Recurrent Neural Networks
Alex Graves and Navdeep Jaitly
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Sample Efficient Reinforcement Learning with Gaussian Processes
Robert Grande, Thomas Walsh and Jonathan How
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Anti-differentiating approximation algorithms:A case study with min-cuts, spectral, and flow
David Gleich and Michael Mahoney
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Robust and Efficient Kernel Hyperparameter Paths with Guarantees
Joachim Giesen, Soeren Laue and Patrick Wieschollek
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Online Clustering of Bandits
Claudio Gentile, Shuai Li and Giovanni Zappella
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Bayesian Optimization with Inequality Constraints
Jacob Gardner, Matt Kusner, Kilian Q. Weinberger, John Cunningham and Zhixiang Xu
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Pitfalls in the use of Parallel Inference for the Dirichlet Process
Yarin Gal and Zoubin Ghahramani
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Dual Query: Practical Private Query Release for High Dimensional Data
Marco Gaboardi, Emilio Arias, Justin Hsu, Aaron Roth and Zhiwei S. Wu
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Efficient Label Propagation
Yasuhiro Fujiwara and Go Irie
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically
Yuan Fang, Kevin Chang and Hady Lauw
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Signal recovery from Pooling Representations
Joan B. Estrach, Arthur Szlam and Yann Lecun
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Discrete Chebyshev Classifiers
Elad Eban, Elad Mezuman and Amir Globerson
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Pursuit-Evasion Without Regret, with an Application to Trading
Lili Dworkin, Michael Kearns and Yuriy Nevmyvaka
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Influence Function Learning in Information Diffusion Networks
Nan Du, Yingyu Liang, Le Song and Maria-Florina Balcan
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Finito: A faster, permutable incremental gradient method for big data problems
Aaron Defazio, Justin Domke and Tiberio Caetano
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Automated inference of point of view from user interactions in collective intelligence venues
Sanmay Das and Allen Lavoie
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm
Hadi Daneshmand, Manuel Gomez-rodriguez, Le Song and Bernhard Schoelkopf
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Fast Computation of Wasserstein Barycenters
Marco Cuturi and Arnaud Doucet
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Deep Boosting
Corinna Cortes, Mehryar Mohri and Umar Syed
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Ensemble Methods for Structured Prediction
Corinna Cortes, Vitaly Kuznetsov and Mehryar Mohri
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Gaussian Process Optimization with Mutual Information
Emile Contal, Vianney Perchet and Nicolas Vayatis
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Learning the Irreducible Representations of Commutative Lie Groups
Taco Cohen and Max Welling
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Anomaly Ranking as Supervised Bipartite Ranking
Stephan Clémençon and Sylvain Robbiano
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


A Kernel Independence Test for Random Processes
Kacper Chwialkowski and Arthur Gretton
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Nearest Neighbors Using Compact Sparse Codes
Anoop Cherian
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Stochastic Gradient Hamiltonian Monte Carlo
Tianqi Chen, Emily Fox and Carlos Guestrin
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Weighted Graph Clustering with Non-Uniform Uncertainties
Yudong Chen, Shiau H. Lim and Huan Xu
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Marginalized Denoising Auto-encoders for Nonlinear Representations
Minmin Chen, Kilian Q. Weinberger, Fei Sha and Yoshua Bengio
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Topic Modeling using Topics from Many Domains, Lifelong Learning and Big Data
Zhiyuan Chen and Bing Liu
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Statistical-Computational Phase Transitions in Planted Models: The High-Dimensional Setting
Yudong Chen and Jiaming Xu
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Near-Optimal Joint Object Matching via Convex Relaxation
Yuxin Chen, Leonidas Guibas and Qixing Huang
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Effective Bayesian Modeling of Groups of Related Count Time Series
Nicolas Chapados
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Estimating Latent-Variable Graphical Models using Moments and Likelihoods
Arun T. Chaganty and Percy Liang
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Deterministic Anytime Inference for Stochastic Continuous-Time Markov Processes
E. B. Celikkaya and Christian Shelton
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Efficient Dimensionality Reduction for High-Dimensional Network Estimation
Safiye Celik, Benjamin Logsdon and Su-in Lee
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Hierarchical Quasi-Clustering Methods for Asymmetric Networks
Gunnar Carlsson, Facundo Mémoli, Alejandro Ribeiro and Santiago Segarra
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows
Robert Busa-fekete, Eyke Huellermeier and Balázs Szörényi
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


PAC-inspired Option Discovery in Lifelong Reinforcement Learning
Emma Brunskill and Lihong Li
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Scalable Gaussian Process Structured Prediction for Grid Factor Graph Applications
Sebastien Bratieres, Novi Quadrianto, Sebastian Nowozin and Zoubin Ghahramani
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Compositional Morphology for Word Representations and Language Modelling
Jan Botha and Phil Blunsom
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Universal Matrix Completion
Srinadh Bhojanapalli and Prateek Jain
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Deep Generative Stochastic Networks Trainable by Backprop
Yoshua Bengio, Eric Laufer, Guillaume Alain and Jason Yosinski
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


A Bayesian Wilcoxon signed-rank test based on the Dirichlet process
Alessio Benavoli, Giorgio Corani, Francesca Mangili, Marco Zaffalon and Fabrizio Ruggeri
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Clustering in the Presence of Background Noise
Shai Ben-david and Nika Haghtalab
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Skip Context Tree Switching
Marc Bellemare, Joel Veness and Erik Talvitie
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting
Oscar Beijbom, Mohammad Saberian, David Kriegman and Nuno Vasconcelos
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Variational Inference for Sequential Distance Dependent Chinese Restaurant Process
Sergey Bartunov and Dmitry Vetrov
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Gaussian Processes for Bayesian Estimation in Ordinary Differential Equations
David Barber and Yali Wang
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Methods of Moments for Learning Stochastic Languages: Unified Presentation and Empirical Comparison
Borja Balle, William Hamilton and Joelle Pineau
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


A Bayesian Framework for Online Classifier Ensemble
Qinxun Bai, Henry Lam and Stan Sclaroff
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Sample-based approximate regularization
Philip Bachman, Amir-massoud Farahmand and Doina Precup
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Learning Modular Structures from Network Data and Node Variables
Elham Azizi, Edoardo Airoldi and James Galagan
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Online Stochastic Optimization under Correlated Bandit Feedback
Mohammad G. Azar, Alessandro Lazaric and Emma Brunskill
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Local algorithms for interactive clustering
Pranjal Awasthi, Konstantin Voevodski and Maria-Florina Balcan
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Nonnegative Sparse PCA with Provable Guarantees
Megasthenis Asteris, Dimitris Papailiopoulos and Alexandros Dimakis
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


A Unifying View of Representer Theorems
Andreas Argyriou and Francesco Dinuzzo
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Learning Polynomials with Neural Networks
Alexandr Andoni, Rina Panigrahy, Gregory Valiant and Li Zhang
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Memory and Computation Efficient PCA via Very Sparse Random Projections
Farhad P. Anaraki and Shannon Hughes
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Online Multi-Task Learning for Policy Gradient Methods
Haitham B. Ammar, Eric Eaton, Paul Ruvolo and Matthew Taylor
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Learning from Contagion (Without Timestamps)
Kareem Amin, Hoda Heidari and Michael Kearns
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Reducing Dueling Bandits to Cardinal Bandits
Nir Ailon, Zohar Karnin and Thorsten Joachims
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Distributed Stochastic Gradient MCMC
Sungjin Ahn, Babak Shahbaba and Max Welling
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Hierarchical Conditional Random Fields for Outlier Detection: An Application tahmed14.pdfo Detecting Epileptogenic Cortical Malformations
Bilal Ahmed, Thomas Thesen, Karen Blackmon, Yijun Zhao, Orrin Devinsky, Ruben Kuzniecky and Carla Brodley
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


GEV-Canonical Regression for Accurate Binary Class Probability Estimation when Onagarwalc14.pdfe Class is Rare
Arpit Agarwal, Harikrishna Narasimhan, Shivaram Kalyanakrishnan and Shivani Agarwal
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits
Alekh Agarwal, Daniel Hsu, Satyen Kale, John Langford, Lihong Li and Robert Schapire
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Least Squares Revisited: Scalable Approaches for Multi-class Prediction
Alekh Agarwal, Sham Kakade, Nikos Karampatziakis, Le Song and Gregory Valiant
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Learning the Parameters of Determinantal Point Process Kernels
Raja H. Affandi, Emily Fox, Ryan Adams and Ben Taskar
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction
Jian Zhou and Olga Troyanskaya
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Fast Stochastic Alternating Direction Method of Multipliers
Wenliang Zhong and James Kwok
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Max-Margin Infinite Hidden Markov Models
Aonan Zhang, Jun Zhu and Bo Zhang
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Covering Number for Efficient Heuristic-based POMDP Planning
Zongzhang Zhang, David Hsu and Wee S. Lee
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Large-scale Multi-label Learning with Missing Labels
Hsiang-fu Yu, Prateek Jain, Purushottam Kar and Inderjit Dhillon
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Making the Most of Bag of Words: Sentence Regularization with Alternating Direction Method of Multipliers
Dani Yogatama and Noah Smith
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels
Jiyan Yang, Vikas Sindhwani, Haim Avron and Michael Mahoney
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


The Coherent Loss Function for Classification
Wenzhuo Yang, Melvyn Sim and Huan Xu
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


A Deep and Tractable Density Estimator
Benigno Uria, Iain Murray and Hugo Larochelle
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Bias in Natural Actor-Critic Algorithms
Philip Thomas
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis
Jian Tang, Zhaoshi Meng, Xuanlong Nguyen, Qiaozhu Mei and Ming Zhang
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Learning Graphs with a Few Hubs
Rashish Tandon and Pradeep Ravikumar
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Boosting multi-step autoregressive forecasts
Souhaib B. Taieb and Rob Hyndman
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Stochastic Dual Coordinate Ascent with Alternating Direction Method of Multipliers
Taiji Suzuki
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Filtering with Abstract Particles
Jacob Steinhardt and Percy Liang
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Demystifying Information-Theoretic Clustering
Greg V. Steeg, Aram Galstyan, Fei Sha and Simon Dedeo
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Computing Parametric Ranking Models via Rank-Breaking
Hossein A. Soufiani, David Parkes and Lirong Xia
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Optimal Budget Allocation: Theoretical Guarantee and Efficient Algorithm
Tasuku Soma, Naonori Kakimura, Kazuhiro Inaba and Ken-ichi Kawarabayashi
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Wasserstein Propagation for Semi-Supervised Learning
Justin Solomon, Raif Rustamov, Guibas Leonidas and Adrian Butscher
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Hamiltonian Monte Carlo Without Detailed Balance
Jascha Sohl-dickstein, Mayur Mudigonda and Michael Deweese
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Generalized Exponential Concentration Inequality for Renyi Divergence Estimation
Shashank Singh and Barnabas Poczos
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Deterministic Policy Gradient Algorithms
David Silver, Guy Lever, Nicolas Heess, Thomas Degris, Daan Wierstra and Martin Riedmiller
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Memory Efficient Kernel Approximation
Si Si, Cho-jui Hsieh and Inderjit Dhillon
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Densifying One Permutation Hashing via Rotation for Fast Near Neighbor Search
Anshumali Shrivastava and Ping Li
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Online Bayesian Passive-Aggressive Learning
Tianlin Shi and Jun Zhu
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Coordinate-descent for learning orthogonal matrices through Givens rotations
Uri Shalit and Gal Chechik
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization
Shai Shalev-shwartz and Tong Zhang
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Prediction with Limited Advice and Multiarmed Bandits with Paid Observations
Yevgeny Seldin, Peter Bartlett, Koby Crammer and Yasin Abbasi-yadkori
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


True Online TD(lambda)
Harm V. Seijen and Rich Sutton
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


A Discriminative Latent Variable Model for Online Clustering
Rajhans Samdani, Kai-wei Chang and Dan Roth
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Learning Sum-Product Networks with Direct and Indirect Variable Interactions
Amirmohammad Rooshenas and Daniel Lowd
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Margins, Kernels and Non-linear Smoothed Perceptrons
Aaditya Ramdas and Javier Peña
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data
Arun Rajkumar and Shivani Agarwal
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


The Inverse Regression Topic Model
Maxim Rabinovich and David Blei
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Recurrent Convolutional Neural Networks for Scene Labeling
Pedro Pinheiro and Ronan Collobert
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


On Measure Concentration of Random Maximum A-Posteriori Perturbations
Francesco Orabona, Tamir Hazan, Anand Sarwate and Tommi Jaakkola
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts
Tien V. Nguyen, Dinh Phung, Xuanlong Nguyen, Swetha Venkatesh and Hung Bui
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Fast Allocation of Gaussian Process Experts
Trung Nguyen and Edwin Bonilla
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Kernel Mean Estimation and Stein Effect
Krikamol Muandet, Kenji Fukumizu, Bharath Sriperumbudur, Arthur Gretton and Bernhard Schölkopf
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball
Andrew Miller, Luke Bornn, Ryan Adams and Kirk Goldsberry
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Robust RegBayes: Selectively Incorporating First-Order Logic Domain Knowledge into Bayesian Models
Shike Mei, Jun Zhu and Jerry Zhu
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Learning Theory and Algorithms for revenue optimization in second price auctions with reserve
Andres M. Medina and Mehryar Mohri
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations
Timothy Mann and Shie Mannor
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Latent Bandits.
Odalric-ambrym Maillard and Shie Mannor
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


A Statistical Perspective on Algorithmic Leveraging
Ping Ma, Michael Mahoney and Bin Yu
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Towards Minimax Online Learning with Unknown Time Horizon
Haipeng Luo and Robert Schapire
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint
Ji Liu, Jieping Ye and Ryohei Fujimaki
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Efficient Approximation of Cross-Validation for Kernel Methods using Bouligand Influence Function
Yong Liu, Shali Jiang and Shizhong Liao
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


An Adaptive Accelerated Proximal Gradient Method and its Homotopy Continuation for Sparse Optimization
Qihang Lin and Lin Xiao
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


On Modelling Non-linear Topical Dependencies
Zhixing Li, Siqiang Wen, Juanzi Li, Peng Zhang and Jie Tang
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Modeling Correlated Arrival Events with Latent Semi-Markov Processes
Wenzhao Lian, Vinayak Rao, Brian Eriksson and Lawrence Carin
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Condensed Filter Tree for Cost-Sensitive Multi-Label Classification
Chun-liang Li and Hsuan-tien Lin
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Latent Variable Copula Inference for Bundle Pricing from Retail Transaction Data
Benjamin Letham, Wei Sun and Anshul Sheopuri
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Spherical Hamiltonian Monte Carlo for Constrained Target Distributions
Shiwei Lan, Bo Zhou and Babak Shahbaba
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Large-Margin Metric Learning for Constrained Partitioning Problems
Rémi Lajugie, Francis Bach and Sylvain Arlot
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Agnostic Bayesian Learning of Ensembles
Alexandre Lacoste, Mario Marchand, François Laviolette and Hugo Larochelle
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget
Anoop Korattikara, Yutian Chen and Max Welling
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Asymptotically consistent estimation of the number of change points in highly dependent time series
Azadeh Khaleghi and Daniil Ryabko
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Discriminative Features via Generalized Eigenvectors
Nikos Karampatziakis and Paul Mineiro
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


(Near) Dimension Independent Risk Bounds for Differentially Private Learning
Prateek Jain and Abhradeep G. Thakurta
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection
Arun Iyer, Saketha Nath and Sunita Sarawagi
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Admixture of Poisson MRFs: A Topic Model with Word Dependencies
David Inouye, Pradeep Ravikumar and Inderjit Dhillon
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


An Efficient Approach for Assessing Hyperparameter Importance
Frank Hutter, Holger Hoos and Kevin Leyton-brown
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Nuclear Norm Minimization via Active Subspace Selection
Cho-jui Hsieh and Peder Olsen
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


A Divide-and-Conquer Solver for Kernel Support Vector Machines
Cho-jui Hsieh, Si Si and Inderjit Dhillon
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Efficient Continuous-Time Markov Chain Estimation
Monir Hajiaghayi, Bonnie Kirkpatrick, Liangliang Wang and Alexandre Bouchard-côté
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Thompson Sampling for Complex Online Problems
Aditya Gopalan, Shie Mannor and Yishay Mansour
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Von Mises-Fisher Clustering Models
Siddharth Gopal and Yiming Yang
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Buffer k-d Trees: Processing Massive Nearest Neighbor Queries on GPUs
Fabian Gieseke, Justin Heinermann, Cosmin Oancea and Christian Igel
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Low-density Parity Constraints for Hashing-Based Discrete Integration
Stefano Ermon, Carla Gomes, Ashish Sabharwal and Bart Selman
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng and Trevor Darrell
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Online Learning in Markov Decision Processes with Changing Cost Sequences
Travis Dick, Andras Gyorgy and Csaba Szepesvari
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning
François Denis, Mattias Gybels and Amaury Habrard
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Narrowing the Gap: Random Forests In Theory and In Practice
Misha Denil, David Matheson and Nando D. Freitas
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Unimodal Bandits: Regret Lower Bounds and Optimal Algorithms
Richard Combes and Alexandre Proutiere
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Diagnosis determination: decision trees optimizing simultaneously worst and expected testing cost
Ferdinando Cicalese, Eduardo Laber and Aline M. Saettler
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Coherent Matrix Completion
Yudong Chen, Srinadh Bhojanapalli, Sujay Sanghavi and Rachel Ward
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Boosting with Online Binary Learners for the Multiclass Bandit Problem
Shang-tse Chen, Hsuan-tien Lin and Chi-jen Lu
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Active Detection via Adaptive Submodularity
Yuxin Chen, Hiroaki Shioi, Cesar F. Montesinos, Lian P. Koh, Serge Wich and Andreas Krause
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Convergence rates for persistence diagram estimation in Topological Data Analysis
Frédéric Chazal, Marc Glisse, Catherine Labruère and Bertrand Michel
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


A Consistent Histogram Estimator for Exchangeable Graph Models
Stanley Chan and Edoardo Airoldi
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach
Rémi Bardenet, Arnaud Doucet and Chris Holmes
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Towards an optimal stochastic alternating direction method of multipliers
Samaneh Azadi and Suvrit Sra
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Provable Bounds for Learning Some Deep Representations
Sanjeev Arora, Aditya Bhaskara, Rong Ge and Tengyu Ma
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Tracking Adversarial Targets
Yasin Abbasi-yadkori, Peter Bartlett and Varun Kanade
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Flexible Transfer Learning under Support and Model Shift
Xuezhi Wang and Jeff Schneider
Advances in Neural Information Processing Systems 27, 2014


Exclusive Feature Learning on Arbitrary Structures via l_1,2-norm
Deguang Kong, Ryohei Fujimaki, Ji Liu, Feiping Nie and Chris Ding
Advances in Neural Information Processing Systems 27, 2014


Multivariate Regression with Calibration
Han Liu, Lie Wang and Tuo Zhao
Advances in Neural Information Processing Systems 27, 2014


Learning Multiple Tasks in Parallel with a Shared Annotator
Haim Cohen and Koby Crammer
Advances in Neural Information Processing Systems 27, 2014


Multitask learning meets tensor factorization: task imputation via convex optimization
Kishan Wimalawarne, Masashi Sugiyama and Ryota Tomioka
Advances in Neural Information Processing Systems 27, 2014


On Multiplicative Multitask Feature Learning
Xin Wang, Jinbo Bi, Shipeng Yu and Jiangwen Sun
Advances in Neural Information Processing Systems 27, 2014


Learning convolution filters for inverse covariance estimation of neural network connectivity
George Mohler
Advances in Neural Information Processing Systems 27, 2014


Extracting Latent Structure From Multiple Interacting Neural Populations
Joao Semedo, Amin Zandvakili, Adam Kohn, Christian K. Machens and Byron M. Yu
Advances in Neural Information Processing Systems 27, 2014


Analysis of Brain States from Multi-Region LFP Time-Series
Kyle R. Ulrich, David E. Carlson, Wenzhao Lian, Jana S. Borg, Kafui Dzirasa and Lawrence Carin
Advances in Neural Information Processing Systems 27, 2014


Spike Frequency Adaptation Implements Anticipative Tracking in Continuous Attractor Neural Networks
Yuanyuan Mi, C. Fung, K. Wong and Si Wu
Advances in Neural Information Processing Systems 27, 2014


Real-Time Decoding of an Integrate and Fire Encoder
Shreya Saxena and Munther Dahleh
Advances in Neural Information Processing Systems 27, 2014


On Prior Distributions and Approximate Inference for Structured Variables
Oluwasanmi O. Koyejo, Rajiv Khanna, Joydeep Ghosh and Russell Poldrack
Advances in Neural Information Processing Systems 27, 2014


Generalized Unsupervised Manifold Alignment
Zhen Cui, Hong Chang, Shiguang Shan and Xilin Chen
Advances in Neural Information Processing Systems 27, 2014


Improved Distributed Principal Component Analysis
Yingyu Liang, Vandana Kanchanapally, David Woodruff and Maria-Florina Balcan
Advances in Neural Information Processing Systems 27, 2014


Cone-Constrained Principal Component Analysis
Yash Deshpande, Andrea Montanari and Emile Richard
Advances in Neural Information Processing Systems 27, 2014


large scale canonical correlation analysis with iterative least squares
Yichao Lu and Dean P. Foster
Advances in Neural Information Processing Systems 27, 2014


A statistical model for tensor PCA
Emile Richard and Andrea Montanari
Advances in Neural Information Processing Systems 27, 2014


Sparse PCA with Oracle Property
Quanquan Gu, Zhaoran Wang and Han Liu
Advances in Neural Information Processing Systems 27, 2014


Accelerated Mini-batch Randomized Block Coordinate Descent Method
Tuo Zhao, Mo Yu, Yiming Wang, Raman Arora and Han Liu
Advances in Neural Information Processing Systems 27, 2014


Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition
Hanie Sedghi, Anima Anandkumar and Edmond Jonckheere
Advances in Neural Information Processing Systems 27, 2014


Bregman Alternating Direction Method of Multipliers
Huahua Wang and Arindam Banerjee
Advances in Neural Information Processing Systems 27, 2014


Beyond the Birkhoff Polytope: Convex Relaxations for Vector Permutation Problems
Cong H. Lim and Stephen Wright
Advances in Neural Information Processing Systems 27, 2014


Stochastic Proximal Gradient Descent with Acceleration Techniques
Atsushi Nitanda
Advances in Neural Information Processing Systems 27, 2014


Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization
Meisam Razaviyayn, Mingyi Hong, Zhi-quan Luo and Jong-shi Pang
Advances in Neural Information Processing Systems 27, 2014


Incremental Clustering: The Case for Extra Clusters
Margareta Ackerman and Sanjoy Dasgupta
Advances in Neural Information Processing Systems 27, 2014


Extracting Certainty from Uncertainty: Transductive Pairwise Classification from Pairwise Similarities
Tianbao Yang and Rong Jin
Advances in Neural Information Processing Systems 27, 2014


Learning Shuffle Ideals Under Restricted Distributions
Dongqu Chen
Advances in Neural Information Processing Systems 27, 2014


Partition-wise Linear Models
Hidekazu Oiwa and Ryohei Fujimaki
Advances in Neural Information Processing Systems 27, 2014


PAC-Bayesian AUC classification and scoring
James Ridgway, Pierre Alquier, Nicolas Chopin and Feng Liang
Advances in Neural Information Processing Systems 27, 2014


Biclustering Usinig Message Passing
Luke O. Connor and Soheil Feizi
Advances in Neural Information Processing Systems 27, 2014


Causal Inference through a Witness Protection Program
Ricardo Silva and Robin Evans
Advances in Neural Information Processing Systems 27, 2014


Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning
Siamak Ravanbakhsh, Reihaneh Rabbany and Russell Greiner
Advances in Neural Information Processing Systems 27, 2014


Projective dictionary pair learning for pattern classification
Shuhang Gu, Lei Zhang, Wangmeng Zuo and Xiangchu Feng
Advances in Neural Information Processing Systems 27, 2014


Communication-Efficient Distributed Dual Coordinate Ascent
Martin Jaggi, Virginia Smith, Martin Takac, Jonathan Terhorst, Sanjay Krishnan, Thomas Hofmann and Michael I. Jordan
Advances in Neural Information Processing Systems 27, 2014


On Model Parallelization and Scheduling Strategies for Distributed Machine Learning
Seunghak Lee, Jin K. Kim, Xun Zheng, Qirong Ho, Garth A. Gibson and Eric P. Xing
Advances in Neural Information Processing Systems 27, 2014


Communication Efficient Distributed Machine Learning with the Parameter Server
Mu Li, David G. Andersen, Alex J. Smola and Kai Yu
Advances in Neural Information Processing Systems 27, 2014


Distributed Bayesian Posterior Sampling via Moment Sharing
Minjie Xu, Balaji Lakshminarayanan, Yee W. Teh, Jun Zhu and Bo Zhang
Advances in Neural Information Processing Systems 27, 2014


Just-In-Time Learning for Fast and Flexible Inference
S. Eslami, Daniel Tarlow, Pushmeet Kohli and John Winn
Advances in Neural Information Processing Systems 27, 2014


Incremental Local Gaussian Regression
Franziska Meier, Philipp Hennig and Stefan Schaal
Advances in Neural Information Processing Systems 27, 2014


Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models
Yarin Gal, Mark Wilk and Carl Rasmussen
Advances in Neural Information Processing Systems 27, 2014


Bayesian Sampling Using Stochastic Gradient Thermostats
Nan Ding, Youhan Fang, Ryan Babbush, Changyou Chen, Robert D. Skeel and Hartmut Neven
Advances in Neural Information Processing Systems 27, 2014


Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models
Yichuan Zhang and Charles Sutton
Advances in Neural Information Processing Systems 27, 2014


Universal Option Models
Hengshuai Yao, Csaba Szepesvari, Richard S. Sutton, Joseph Modayil and Shalabh Bhatnagar
Advances in Neural Information Processing Systems 27, 2014


Repeated Contextual Auctions with Strategic Buyers
Kareem Amin, Afshin Rostamizadeh and Umar Syed
Advances in Neural Information Processing Systems 27, 2014


Fairness in Multi-Agent Sequential Decision-Making
Chongjie Zhang and Julie A. Shah
Advances in Neural Information Processing Systems 27, 2014


Diverse Randomized Agents Vote to Win
Albert Jiang, Leandro S. Marcolino, Ariel D. Procaccia, Tuomas Sandholm, Nisarg Shah and Milind Tambe
Advances in Neural Information Processing Systems 27, 2014


Learning Optimal Commitment to Overcome Insecurity
Avrim Blum, Nika Haghtalab and Ariel D. Procaccia
Advances in Neural Information Processing Systems 27, 2014


Computing Nash Equilibria in Generalized Interdependent Security Games
Hau Chan and Luis E. Ortiz
Advances in Neural Information Processing Systems 27, 2014


Streaming, Memory Limited Algorithms for Community Detection
Se-young Yun, Marc Lelarge and Alexandre Proutiere
Advances in Neural Information Processing Systems 27, 2014


Tight Continuous Relaxation of the Balanced k-Cut Problem
Syama S. Rangapuram, Pramod K. Mudrakarta and Matthias Hein
Advances in Neural Information Processing Systems 27, 2014


Approximating Hierarchical MV-sets for Hierarchical Clustering
Assaf Glazer, Omer Weissbrod, Michael Lindenbaum and Shaul Markovitch
Advances in Neural Information Processing Systems 27, 2014


Coresets for k-Segmentation of Streaming Data
Guy Rosman, Mikhail Volkov, Dan Feldman, John Iii and Daniela Rus
Advances in Neural Information Processing Systems 27, 2014


Discovering Structure in High-Dimensional Data Through Correlation Explanation
Greg V. Steeg and Aram Galstyan
Advances in Neural Information Processing Systems 27, 2014


Recursive Inversion Models for Permutations
Christopher Meek and Marina Meila
Advances in Neural Information Processing Systems 27, 2014


QUIC \& DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models
Cho-jui Hsieh, Inderjit S. Dhillon, Pradeep K. Ravikumar, Stephen Becker and Peder A. Olsen
Advances in Neural Information Processing Systems 27, 2014


Learning Chordal Markov Networks by Dynamic Programming
Kustaa Kangas, Mikko Koivisto and Teppo Niinimäki
Advances in Neural Information Processing Systems 27, 2014


Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection
Sang Oh, Onkar Dalal, Kshitij Khare and Bala Rajaratnam
Advances in Neural Information Processing Systems 27, 2014


Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data
Karthika Mohan and Judea Pearl
Advances in Neural Information Processing Systems 27, 2014


Divide-and-Conquer Learning by Anchoring a Conical Hull
Tianyi Zhou, Jeff A. Bilmes and Carlos Guestrin
Advances in Neural Information Processing Systems 27, 2014


Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation
Jonathan J. Tompson, Arjun Jain, Yann Lecun and Christoph Bregler
Advances in Neural Information Processing Systems 27, 2014


A Complete Variational Tracker
Ryan D. Turner, Steven Bottone and Bhargav Avasarala
Advances in Neural Information Processing Systems 27, 2014


Concavity of reweighted Kikuchi approximation
Po-ling Loh and Andre Wibisono
Advances in Neural Information Processing Systems 27, 2014


Sequential Monte Carlo for Graphical Models
Christian A. Naesseth, Fredrik Lindsten and Thomas B. Schön
Advances in Neural Information Processing Systems 27, 2014


Hardness of parameter estimation in graphical models
Guy Bresler, David Gamarnik and Devavrat Shah
Advances in Neural Information Processing Systems 27, 2014


Self-Paced Learning with Diversity
Lu Jiang, Deyu Meng, Shoou-i Yu, Zhenzhong Lan, Shiguang Shan and Alexander Hauptmann
Advances in Neural Information Processing Systems 27, 2014


Shape and Illumination from Shading using the Generic Viewpoint Assumption
Daniel Zoran, Dilip Krishnan, Jose Bento and Bill Freeman
Advances in Neural Information Processing Systems 27, 2014


Scale Adaptive Blind Deblurring
Haichao Zhang and Jianchao Yang
Advances in Neural Information Processing Systems 27, 2014


Submodular Attribute Selection for Action Recognition in Video
Jingjing Zheng, Zhuolin Jiang, Rama Chellappa and Jonathon P. Phillips
Advances in Neural Information Processing Systems 27, 2014


Expectation-Maximization for Learning Determinantal Point Processes
Jennifer A. Gillenwater, Alex Kulesza, Emily Fox and Ben Taskar
Advances in Neural Information Processing Systems 27, 2014


Structure Regularization for Structured Prediction
Xu Sun
Advances in Neural Information Processing Systems 27, 2014


Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials
Shenlong Wang, Alex Schwing and Raquel Urtasun
Advances in Neural Information Processing Systems 27, 2014


Object Localization based on Structural SVM using Privileged Information
Jan Feyereisl, Suha Kwak, Jeany Son and Bohyung Han
Advances in Neural Information Processing Systems 27, 2014


Stochastic variational inference for hidden Markov models
Nicholas Foti, Jason Xu, Dillon Laird and Emily Fox
Advances in Neural Information Processing Systems 27, 2014


Decoupled Variational Gaussian Inference
Mohammad E. Khan
Advances in Neural Information Processing Systems 27, 2014


Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP
Shinichi Nakajima, Issei Sato, Masashi Sugiyama, Kazuho Watanabe and Hiroko Kobayashi
Advances in Neural Information Processing Systems 27, 2014


Smoothed Gradients for Stochastic Variational Inference
Stephan Mandt and David Blei
Advances in Neural Information Processing Systems 27, 2014


A Filtering Approach to Stochastic Variational Inference
Neil Houlsby and David Blei
Advances in Neural Information Processing Systems 27, 2014


Message Passing Inference for Large Scale Graphical Models with High Order Potentials
Jian Zhang, Alex Schwing and Raquel Urtasun
Advances in Neural Information Processing Systems 27, 2014


Automatic Discovery of Cognitive Skills to Improve the Prediction of Student Learning
Robert V. Lindsey, Mohammad Khajah and Michael C. Mozer
Advances in Neural Information Processing Systems 27, 2014


A Framework for Testing Identifiability of Bayesian Models of Perception
Luigi Acerbi, Wei J. Ma and Sethu Vijayakumar
Advances in Neural Information Processing Systems 27, 2014


Algorithm selection by rational metareasoning as a model of human strategy selection
Falk Lieder, Dillon Plunkett, Jessica B. Hamrick, Stuart J. Russell, Nicholas Hay and Thomas Griffiths
Advances in Neural Information Processing Systems 27, 2014


Deep Recursive Neural Networks for Compositionality in Language
Ozan Irsoy and Claire Cardie
Advances in Neural Information Processing Systems 27, 2014


Convolutional Neural Network Architectures for Matching Natural Language Sentences
Baotian Hu, Zhengdong Lu, Hang Li and Qingcai Chen
Advances in Neural Information Processing Systems 27, 2014


Modeling Deep Temporal Dependencies with Recurrent Grammar Cells""
Vincent Michalski, Roland Memisevic and Kishore Konda
Advances in Neural Information Processing Systems 27, 2014


Discriminative Unsupervised Feature Learning with Convolutional Neural Networks
Alexey Dosovitskiy, Jost T. Springenberg, Martin Riedmiller and Thomas Brox
Advances in Neural Information Processing Systems 27, 2014


Deep Joint Task Learning for Generic Object Extraction
Xiaolong Wang, Liliang Zhang, Liang Lin, Zhujin Liang and Wangmeng Zuo
Advances in Neural Information Processing Systems 27, 2014


Multi-View Perceptron: a Deep Model for Learning Face Identity and View Representations
Zhenyao Zhu, Ping Luo, Xiaogang Wang and Xiaoou Tang
Advances in Neural Information Processing Systems 27, 2014


Unsupervised Deep Haar Scattering on Graphs
Xu Chen, Xiuyuan Cheng and Stephane Mallat
Advances in Neural Information Processing Systems 27, 2014


Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
Emily L. Denton, Wojciech Zaremba, Joan Bruna, Yann Lecun and Rob Fergus
Advances in Neural Information Processing Systems 27, 2014


Unsupervised learning of an efficient short-term memory network
Pietro Vertechi, Wieland Brendel and Christian K. Machens
Advances in Neural Information Processing Systems 27, 2014


Recurrent Models of Visual Attention
Volodymyr Mnih, Nicolas Heess, Alex Graves and Koray Kavukcuoglu
Advances in Neural Information Processing Systems 27, 2014


Optimal Teaching for Limited-Capacity Human Learners
Kaustubh R. Patil, Xiaojin Zhu, \l U. Kope\'c and Bradley C. Love
Advances in Neural Information Processing Systems 27, 2014


Optimal decision-making with time-varying evidence reliability
Jan Drugowitsch, Ruben Moreno-bote and Alexandre Pouget
Advances in Neural Information Processing Systems 27, 2014


Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
David Eigen, Christian Puhrsch and Rob Fergus
Advances in Neural Information Processing Systems 27, 2014


Causal Strategic Inference in Networked Microfinance Economies
Mohammad T. Irfan and Luis E. Ortiz
Advances in Neural Information Processing Systems 27, 2014


A Statistical Decision-Theoretic Framework for Social Choice
Hossein A. Soufiani, David C. Parkes and Lirong Xia
Advances in Neural Information Processing Systems 27, 2014


Transportability from Multiple Environments with Limited Experiments: Completeness Results
Elias Bareinboim and Judea Pearl
Advances in Neural Information Processing Systems 27, 2014


Randomized Experimental Design for Causal Graph Discovery
Huining Hu, Zhentao Li and Adrian R. Vetta
Advances in Neural Information Processing Systems 27, 2014


Poisson Process Jumping between an Unknown Number of Rates: Application to Neural Spike Data
Florian Stimberg, Andreas Ruttor and Manfred Opper
Advances in Neural Information Processing Systems 27, 2014


Mode Estimation for High Dimensional Discrete Tree Graphical Models
Chao Chen, Han Liu, Dimitris Metaxas and Tianqi Zhao
Advances in Neural Information Processing Systems 27, 2014


Making Pairwise Binary Graphical Models Attractive
Nicholas Ruozzi and Tony Jebara
Advances in Neural Information Processing Systems 27, 2014


Augur: Data-Parallel Probabilistic Modeling
Jean-baptiste Tristan, Daniel Huang, Joseph Tassarotti, Adam C. Pocock, Stephen Green and Guy L. Steele
Advances in Neural Information Processing Systems 27, 2014


Advances in Learning Bayesian Networks of Bounded Treewidth
Siqi Nie, Denis D. Maua, Cassio Campos and Qiang Ji
Advances in Neural Information Processing Systems 27, 2014


Clamping Variables and Approximate Inference
Adrian Weller and Tony Jebara
Advances in Neural Information Processing Systems 27, 2014


Near-optimal sample compression for nearest neighbors
Lee-ad Gottlieb, Aryeh Kontorovitch and Pinhas Nisnevitch
Advances in Neural Information Processing Systems 27, 2014


The Blinded Bandit: Learning with Adaptive Feedback
Ofer Dekel, Elad Hazan and Tomer Koren
Advances in Neural Information Processing Systems 27, 2014


Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation
Mingjun Zhong, Nigel Goddard and Charles Sutton
Advances in Neural Information Processing Systems 27, 2014


Efficient Minimax Signal Detection on Graphs
Jing Qian and Venkatesh Saligrama
Advances in Neural Information Processing Systems 27, 2014


Efficient Structured Matrix Rank Minimization
Adams W. Yu, Wanli Ma, Yaoliang Yu, Jaime Carbonell and Suvrit Sra
Advances in Neural Information Processing Systems 27, 2014


A State-Space Model for Decoding Auditory Attentional Modulation from MEG in a Competing-Speaker Environment
Sahar Akram, Jonathan Z. Simon, Shihab A. Shamma and Behtash Babadi
Advances in Neural Information Processing Systems 27, 2014


Low-Rank Time-Frequency Synthesis
Cédric Févotte and Matthieu Kowalski
Advances in Neural Information Processing Systems 27, 2014


Permutation Diffusion Maps (PDM) with Application to the Image Association Problem in Computer Vision
Deepti Pachauri, Risi Kondor, Gautam Sargur and Vikas Singh
Advances in Neural Information Processing Systems 27, 2014


Spectral Clustering of graphs with the Bethe Hessian
Alaa Saade, Florent Krzakala and Lenka Zdeborova
Advances in Neural Information Processing Systems 27, 2014


Multi-Scale Spectral Decomposition of Massive Graphs
Si Si, Donghyuk Shin, Inderjit S. Dhillon and Beresford N. Parlett
Advances in Neural Information Processing Systems 27, 2014


Spectral Learning of Mixture of Hidden Markov Models
Cem Subakan, Johannes Traa and Paris Smaragdis
Advances in Neural Information Processing Systems 27, 2014


Spectral Methods for Supervised Topic Models
Yining Wang and Jun Zhu
Advances in Neural Information Processing Systems 27, 2014


Spectral Methods for Indian Buffet Process Inference
Hsiao-yu Tung and Alex J. Smola
Advances in Neural Information Processing Systems 27, 2014


Robust Logistic Regression and Classification
Jiashi Feng, Huan Xu, Shie Mannor and Shuicheng Yan
Advances in Neural Information Processing Systems 27, 2014


Multi-Class Deep Boosting
Vitaly Kuznetsov, Mehryar Mohri and Umar Syed
Advances in Neural Information Processing Systems 27, 2014


Multi-Resolution Cascades for Multiclass Object Detection
Mohammad Saberian and Nuno Vasconcelos
Advances in Neural Information Processing Systems 27, 2014


A Boosting Framework on Grounds of Online Learning
Tofigh N. Mohamadpoor and Beat Pfister
Advances in Neural Information Processing Systems 27, 2014


Large-Margin Convex Polytope Machine
Alex Kantchelian, Michael C. Tschantz, Ling Huang, Peter L. Bartlett, Anthony D. Joseph and J. D. Tygar
Advances in Neural Information Processing Systems 27, 2014


Feature Cross-Substitution in Adversarial Classification
Bo Li and Yevgeniy Vorobeychik
Advances in Neural Information Processing Systems 27, 2014


Analysis of Learning from Positive and Unlabeled Data
Marthinus Plessis, Gang Niu and Masashi Sugiyama
Advances in Neural Information Processing Systems 27, 2014


Optimizing F-Measures by Cost-Sensitive Classification
Shameem P. Parambath, Nicolas Usunier and Yves Grandvalet
Advances in Neural Information Processing Systems 27, 2014


Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling
Ricardo Henao, Xin Yuan and Lawrence Carin
Advances in Neural Information Processing Systems 27, 2014


Deconvolution of High Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain
Charles Y. Zheng, Franco Pestilli and Ariel Rokem
Advances in Neural Information Processing Systems 27, 2014


Exponential Concentration of a Density Functional Estimator
Shashank Singh and Barnabas Poczos
Advances in Neural Information Processing Systems 27, 2014


On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures
Harikrishna Narasimhan, Rohit Vaish and Shivani Agarwal
Advances in Neural Information Processing Systems 27, 2014


Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning
Francesco Orabona
Advances in Neural Information Processing Systems 27, 2014


Altitude Training: Strong Bounds for Single-Layer Dropout
Stefan Wager, William Fithian, Sida Wang and Percy S. Liang
Advances in Neural Information Processing Systems 27, 2014


Bayes-Adaptive Simulation-based Search with Value Function Approximation
Arthur Guez, Nicolas Heess, David Silver and Peter Dayan
Advances in Neural Information Processing Systems 27, 2014


Positive Curvature and Hamiltonian Monte Carlo
Christof Seiler, Simon Rubinstein-salzedo and Susan Holmes
Advances in Neural Information Processing Systems 27, 2014


An Integer Polynomial Programming Based Framework for Lifted MAP Inference
Somdeb Sarkhel, Deepak Venugopal, Parag Singla and Vibhav G. Gogate
Advances in Neural Information Processing Systems 27, 2014


New Rules for Domain Independent Lifted MAP Inference
Happy Mittal, Prasoon Goyal, Vibhav G. Gogate and Parag Singla
Advances in Neural Information Processing Systems 27, 2014


A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation
Eran Treister and Javier S. Turek
Advances in Neural Information Processing Systems 27, 2014


Convex Deep Learning via Normalized Kernels
Özlem Aslan, Xinhua Zhang and Dale Schuurmans
Advances in Neural Information Processing Systems 27, 2014


Learning to Search in Branch and Bound Algorithms
He He, Hal D. Iii and Jason M. Eisner
Advances in Neural Information Processing Systems 27, 2014


Constrained convex minimization via model-based excessive gap
Quoc Tran-dinh and Volkan Cevher
Advances in Neural Information Processing Systems 27, 2014


Stochastic Network Design in Bidirected Trees
Xiaojian Wu, Daniel R. Sheldon and Shlomo Zilberstein
Advances in Neural Information Processing Systems 27, 2014


From MAP to Marginals: Variational Inference in Bayesian Submodular Models
Josip Djolonga and Andreas Krause
Advances in Neural Information Processing Systems 27, 2014


Parallel Double Greedy Submodular Maximization
Xinghao Pan, Stefanie Jegelka, Joseph E. Gonzalez, Joseph K. Bradley and Michael I. Jordan
Advances in Neural Information Processing Systems 27, 2014


Multivariate f-divergence Estimation With Confidence
Kevin Moon and Alfred O. Hero
Advances in Neural Information Processing Systems 27, 2014


A Probabilistic Framework for Multimodal Retrieval using Integrative Indian Buffet Process
Bahadir Ozdemir and Larry S. Davis
Advances in Neural Information Processing Systems 27, 2014


On the Information Theoretic Limits of Learning Ising Models
Rashish Tandon, Karthikeyan Shanmugam, Pradeep K. Ravikumar and Alexandros G. Dimakis
Advances in Neural Information Processing Systems 27, 2014


Learning with Pseudo-Ensembles
Phil Bachman, Ouais Alsharif and Doina Precup
Advances in Neural Information Processing Systems 27, 2014


Identifying and attacking the saddle point problem in high-dimensional non-convex optimization
Yann N. Dauphin, Razvan Pascanu, Caglar Gulcehre, Kyunghyun Cho, Surya Ganguli and Yoshua Bengio
Advances in Neural Information Processing Systems 27, 2014


Deep Convolutional Neural Network for Image Deconvolution
Li Xu, Jimmy S. Ren, Ce Liu and Jiaya Jia
Advances in Neural Information Processing Systems 27, 2014


Do Deep Nets Really Need to be Deep?
Jimmy Ba and Rich Caruana
Advances in Neural Information Processing Systems 27, 2014


Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature
Tom Gunter, Michael A. Osborne, Roman Garnett, Philipp Hennig and Stephen J. Roberts
Advances in Neural Information Processing Systems 27, 2014


Testing Unfaithful Gaussian Graphical Models
De W. Soh and Sekhar C. Tatikonda
Advances in Neural Information Processing Systems 27, 2014


Fast Prediction for Large-Scale Kernel Machines
Cho-jui Hsieh, Si Si and Inderjit S. Dhillon
Advances in Neural Information Processing Systems 27, 2014


Latent Support Measure Machines for Bag-of-Words Data Classification
Yuya Yoshikawa, Tomoharu Iwata and Hiroshi Sawada
Advances in Neural Information Processing Systems 27, 2014


Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space
En-hsu Yen, Ting-wei Lin, Shou-de Lin, Pradeep K. Ravikumar and Inderjit S. Dhillon
Advances in Neural Information Processing Systems 27, 2014


Scaling-up Importance Sampling for Markov Logic Networks
Deepak Venugopal and Vibhav G. Gogate
Advances in Neural Information Processing Systems 27, 2014


Neural Word Embedding as Implicit Matrix Factorization
Omer Levy and Yoav Goldberg
Advances in Neural Information Processing Systems 27, 2014


Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion
Yuanyuan Liu, Fanhua Shang, Wei Fan, James Cheng and Hong Cheng
Advances in Neural Information Processing Systems 27, 2014


Provable Tensor Factorization with Missing Data
Prateek Jain and Sewoong Oh
Advances in Neural Information Processing Systems 27, 2014


Active Learning and Best-Response Dynamics
Christopher Berlind, Avrim Blum, Emma Cohen, Kaushik Patnaik, Le Song and Maria-Florina Balcan
Advances in Neural Information Processing Systems 27, 2014


Multi-scale Graphical Models for Spatio-Temporal Processes
Firdaus Janoos, Huseyin Denli and Niranjan Subrahmanya
Advances in Neural Information Processing Systems 27, 2014


Global Sensitivity Analysis for MAP Inference in Graphical Models
Jasper D. Bock, Cassio Campos and Alessandro Antonucci
Advances in Neural Information Processing Systems 27, 2014


Decomposing Parameter Estimation Problems
Khaled S. Refaat, Arthur Choi and Adnan Darwiche
Advances in Neural Information Processing Systems 27, 2014


Distance-Based Network Recovery under Feature Correlation
David Adametz and Volker Roth
Advances in Neural Information Processing Systems 27, 2014


A Drifting-Games Analysis for Online Learning and Applications to Boosting
Haipeng Luo and Robert E. Schapire
Advances in Neural Information Processing Systems 27, 2014


Active Regression by Stratification
Sivan Sabato and Remi Munos
Advances in Neural Information Processing Systems 27, 2014


Deterministic Symmetric Positive Semidefinite Matrix Completion
William E. Bishop and Byron M. Yu
Advances in Neural Information Processing Systems 27, 2014


Efficient Sampling for Learning Sparse Additive Models in High Dimensions
Hemant Tyagi, Bernd Gärtner and Andreas Krause
Advances in Neural Information Processing Systems 27, 2014


Estimation with Norm Regularization
Arindam Banerjee, Sheng Chen, Farideh Fazayeli and Vidyashankar Sivakumar
Advances in Neural Information Processing Systems 27, 2014


Bayesian Inference for Structured Spike and Slab Priors
Michael R. Andersen, Ole Winther and Lars K. Hansen
Advances in Neural Information Processing Systems 27, 2014


Learning to Optimize via Information-Directed Sampling
Dan Russo and Benjamin V. Roy
Advances in Neural Information Processing Systems 27, 2014


Efficient learning by implicit exploration in bandit problems with side observations
Tomáš Kocák, Gergely Neu, Michal Valko and Remi Munos
Advances in Neural Information Processing Systems 27, 2014


Bounded Regret for Finite-Armed Structured Bandits
Tor Lattimore and Remi Munos
Advances in Neural Information Processing Systems 27, 2014


Best-Arm Identification in Linear Bandits
Marta Soare, Alessandro Lazaric and Remi Munos
Advances in Neural Information Processing Systems 27, 2014


Tree-structured Gaussian Process Approximations
Thang D. Bui and Richard E. Turner
Advances in Neural Information Processing Systems 27, 2014


Robust Classification Under Sample Selection Bias
Anqi Liu and Brian Ziebart
Advances in Neural Information Processing Systems 27, 2014


Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces
Minh H. Quang, Marco S. Biagio and Vittorio Murino
Advances in Neural Information Processing Systems 27, 2014


Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models
Michalis Titsias and Christopher Yau
Advances in Neural Information Processing Systems 27, 2014


Extended and Unscented Gaussian Processes
Daniel M. Steinberg and Edwin V. Bonilla
Advances in Neural Information Processing Systems 27, 2014


Consistent Binary Classification with Generalized Performance Metrics
Oluwasanmi O. Koyejo, Nagarajan Natarajan, Pradeep K. Ravikumar and Inderjit S. Dhillon
Advances in Neural Information Processing Systems 27, 2014


(Almost) No Label No Cry
Giorgio Patrini, Richard Nock, Tiberio Caetano and Paul Rivera
Advances in Neural Information Processing Systems 27, 2014


A Wild Bootstrap for Degenerate Kernel Tests
Kacper P. Chwialkowski, Dino Sejdinovic and Arthur Gretton
Advances in Neural Information Processing Systems 27, 2014


Probabilistic ODE Solvers with Runge-Kutta Means
Michael Schober, David K. Duvenaud and Philipp Hennig
Advances in Neural Information Processing Systems 27, 2014


Asynchronous Anytime Sequential Monte Carlo
Brooks Paige, Frank Wood, Arnaud Doucet and Yee W. Teh
Advances in Neural Information Processing Systems 27, 2014


A\ast Sampling
Chris J. Maddison, Daniel Tarlow and Tom Minka
Advances in Neural Information Processing Systems 27, 2014


Reducing the Rank in Relational Factorization Models by Including Observable Patterns
Maximilian Nickel, Xueyan Jiang and Volker Tresp
Advances in Neural Information Processing Systems 27, 2014


RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning
Marek Petrik and Dharmashankar Subramanian
Advances in Neural Information Processing Systems 27, 2014


Optimizing Energy Production Using Policy Search and Predictive State Representations
Yuri Grinberg, Doina Precup and Michel Gendreau
Advances in Neural Information Processing Systems 27, 2014


Near-optimal Reinforcement Learning in Factored MDPs
Ian Osband and Benjamin V. Roy
Advances in Neural Information Processing Systems 27, 2014


Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics
Sergey Levine and Pieter Abbeel
Advances in Neural Information Processing Systems 27, 2014


Difference of Convex Functions Programming for Reinforcement Learning
Bilal Piot, Matthieu Geist and Olivier Pietquin
Advances in Neural Information Processing Systems 27, 2014


On Communication Cost of Distributed Statistical Estimation and Dimensionality
Ankit Garg, Tengyu Ma and Huy Nguyen
Advances in Neural Information Processing Systems 27, 2014


How hard is my MDP?" The distribution-norm to the rescue"
Odalric-ambrym Maillard, Timothy A. Mann and Shie Mannor
Advances in Neural Information Processing Systems 27, 2014


The limits of squared Euclidean distance regularization
Michal Derezinski and Manfred K. Warmuth
Advances in Neural Information Processing Systems 27, 2014


Rates of Convergence for Nearest Neighbor Classification
Kamalika Chaudhuri and Sanjoy Dasgupta
Advances in Neural Information Processing Systems 27, 2014


Optimal Regret Minimization in Posted-Price Auctions with Strategic Buyers
Mehryar Mohri and Andres Munoz
Advances in Neural Information Processing Systems 27, 2014


Learning Mixtures of Ranking Models
Pranjal Awasthi, Avrim Blum, Or Sheffet and Aravindan Vijayaraghavan
Advances in Neural Information Processing Systems 27, 2014


Exploiting easy data in online optimization
Amir Sani, Gergely Neu and Alessandro Lazaric
Advances in Neural Information Processing Systems 27, 2014


Beyond Disagreement-Based Agnostic Active Learning
Chicheng Zhang and Kamalika Chaudhuri
Advances in Neural Information Processing Systems 27, 2014


From Stochastic Mixability to Fast Rates
Nishant A. Mehta and Robert C. Williamson
Advances in Neural Information Processing Systems 27, 2014


Combinatorial Pure Exploration of Multi-Armed Bandits
Shouyuan Chen, Tian Lin, Irwin King, Michael R. Lyu and Wei Chen
Advances in Neural Information Processing Systems 27, 2014


Unsupervised Transcription of Piano Music
Taylor Berg-kirkpatrick, Jacob Andreas and Dan Klein
Advances in Neural Information Processing Systems 27, 2014


Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing
Yuchen Zhang, Xi Chen, Dengyong Zhou and Michael I. Jordan
Advances in Neural Information Processing Systems 27, 2014


Non-convex Robust PCA
Praneeth Netrapalli, Niranjan U. N, Sujay Sanghavi, Animashree Anandkumar and Prateek Jain
Advances in Neural Information Processing Systems 27, 2014


Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning
Mohammad T. Bahadori, Qi (. Yu and Yan Liu
Advances in Neural Information Processing Systems 27, 2014


Fast and Robust Least Squares Estimation in Corrupted Linear Models
Brian Mcwilliams, Gabriel Krummenacher, Mario Lucic and Joachim M. Buhmann
Advances in Neural Information Processing Systems 27, 2014


A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs
Miles Lopes
Advances in Neural Information Processing Systems 27, 2014


Sparse Polynomial Learning and Graph Sketching
Murat Kocaoglu, Karthikeyan Shanmugam, Alexandros G. Dimakis and Adam Klivans
Advances in Neural Information Processing Systems 27, 2014


A Multiplicative Model for Learning Distributed Text-Based Attribute Representations
Ryan Kiros, Richard Zemel and Ruslan R. Salakhutdinov
Advances in Neural Information Processing Systems 27, 2014


Deep Symmetry Networks
Robert Gens and Pedro M. Domingos
Advances in Neural Information Processing Systems 27, 2014


Generative Adversarial Nets
Ian Goodfellow, Jean Pouget-abadie, Mehdi Mirza, Bing Xu, David Warde-farley, Sherjil Ozair, Aaron Courville and Yoshua Bengio
Advances in Neural Information Processing Systems 27, 2014


On the Number of Linear Regions of Deep Neural Networks
Guido F. Montufar, Razvan Pascanu, Kyunghyun Cho and Yoshua Bengio
Advances in Neural Information Processing Systems 27, 2014


Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning
Xiaoxiao Guo, Satinder Singh, Honglak Lee, Richard L. Lewis and Xiaoshi Wang
Advances in Neural Information Processing Systems 27, 2014


Do Convnets Learn Correspondence?
Jonathan L. Long, Ning Zhang and Trevor Darrell
Advances in Neural Information Processing Systems 27, 2014


Local Decorrelation For Improved Pedestrian Detection
Woonhyun Nam, Piotr Dollar and Joon H. Han
Advances in Neural Information Processing Systems 27, 2014


LSDA: Large Scale Detection through Adaptation
Judy Hoffman, Sergio Guadarrama, Eric S. Tzeng, Ronghang Hu, Jeff Donahue, Ross Girshick, Trevor Darrell and Kate Saenko
Advances in Neural Information Processing Systems 27, 2014


Fast Training of Pose Detectors in the Fourier Domain
Jo\~ao F. Henriques, Pedro Martins, Rui F. Caseiro and Jorge Batista
Advances in Neural Information Processing Systems 27, 2014


Deep Learning Face Representation by Joint Identification-Verification
Yi Sun, Yuheng Chen, Xiaogang Wang and Xiaoou Tang
Advances in Neural Information Processing Systems 27, 2014


Learning Mixtures of Submodular Functions for Image Collection Summarization
Sebastian Tschiatschek, Rishabh K. Iyer, Haochen Wei and Jeff A. Bilmes
Advances in Neural Information Processing Systems 27, 2014


Grouping-Based Low-Rank Trajectory Completion and 3D Reconstruction
Katerina Fragkiadaki, Marta Salas, Pablo Arbelaez and Jitendra Malik
Advances in Neural Information Processing Systems 27, 2014


Diverse Sequential Subset Selection for Supervised Video Summarization
Boqing Gong, Wei-lun Chao, Kristen Grauman and Fei Sha
Advances in Neural Information Processing Systems 27, 2014


Quantized Kernel Learning for Feature Matching
Danfeng Qin, Xuanli Chen, Matthieu Guillaumin and Luc V. Gool
Advances in Neural Information Processing Systems 27, 2014


A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input
Mateusz Malinowski and Mario Fritz
Advances in Neural Information Processing Systems 27, 2014


PEWA: Patch-based Exponentially Weighted Aggregation for image denoising
Charles Kervrann
Advances in Neural Information Processing Systems 27, 2014


Robust Tensor Decomposition with Gross Corruption
Quanquan Gu, Huan Gui and Jiawei Han
Advances in Neural Information Processing Systems 27, 2014


Tight convex relaxations for sparse matrix factorization
Emile Richard, Guillaume R. Obozinski and Jean-philippe Vert
Advances in Neural Information Processing Systems 27, 2014


Low Rank Approximation Lower Bounds in Row-Update Streams
David Woodruff
Advances in Neural Information Processing Systems 27, 2014


Sparse PCA via Covariance Thresholding
Yash Deshpande and Andrea Montanari
Advances in Neural Information Processing Systems 27, 2014


A Synaptical Story of Persistent Activity with Graded Lifetime in a Neural System
Yuanyuan Mi, Luozheng Li, Dahui Wang and Si Wu
Advances in Neural Information Processing Systems 27, 2014


On the relations of LFPs \& Neural Spike Trains
David E. Carlson, Jana S. Borg, Kafui Dzirasa and Lawrence Carin
Advances in Neural Information Processing Systems 27, 2014


Compressive Sensing of Signals from a GMM with Sparse Precision Matrices
Jianbo Yang, Xuejun Liao, Minhua Chen and Lawrence Carin
Advances in Neural Information Processing Systems 27, 2014


Finding a sparse vector in a subspace: Linear sparsity using alternating directions
Qing Qu, Ju Sun and John Wright
Advances in Neural Information Processing Systems 27, 2014


Online Optimization for Max-Norm Regularization
Jie Shen, Huan Xu and Ping Li
Advances in Neural Information Processing Systems 27, 2014


A Dual Algorithm for Olfactory Computation in the Locust Brain
Sina Tootoonian and Mate Lengyel
Advances in Neural Information Processing Systems 27, 2014


Covariance shrinkage for autocorrelated data
Daniel Bartz and Klaus-robert Müller
Advances in Neural Information Processing Systems 27, 2014


Orbit Regularization
Renato Negrinho and Andre Martins
Advances in Neural Information Processing Systems 27, 2014


Scalable Non-linear Learning with Adaptive Polynomial Expansions
Alekh Agarwal, Alina Beygelzimer, Daniel J. Hsu, John Langford and Matus J. Telgarsky
Advances in Neural Information Processing Systems 27, 2014


Distributed Power-law Graph Computing: Theoretical and Empirical Analysis
Cong Xie, Ling Yan, Wu-jun Li and Zhihua Zhang
Advances in Neural Information Processing Systems 27, 2014


DFacTo: Distributed Factorization of Tensors
Joon H. Choi and S. Vishwanathan
Advances in Neural Information Processing Systems 27, 2014


Feedback Detection for Live Predictors
Stefan Wager, Nick Chamandy, Omkar Muralidharan and Amir Najmi
Advances in Neural Information Processing Systems 27, 2014


Reputation-based Worker Filtering in Crowdsourcing
Srikanth Jagabathula, Lakshminarayanan Subramanian and Ashwin Venkataraman
Advances in Neural Information Processing Systems 27, 2014


Extremal Mechanisms for Local Differential Privacy
Peter Kairouz, Sewoong Oh and Pramod Viswanath
Advances in Neural Information Processing Systems 27, 2014


The Large Margin Mechanism for Differentially Private Maximization
Kamalika Chaudhuri, Daniel J. Hsu and Shuang Song
Advances in Neural Information Processing Systems 27, 2014


Optimal Neural Codes for Control and Estimation
Alex K. Susemihl, Ron Meir and Manfred Opper
Advances in Neural Information Processing Systems 27, 2014


Optimal prior-dependent neural population codes under shared input noise
Agnieszka Grabska-barwinska and Jonathan W. Pillow
Advances in Neural Information Processing Systems 27, 2014


Learning on graphs using Orthonormal Representation is Statistically Consistent
Rakesh Shivanna and Chiranjib Bhattacharyya
Advances in Neural Information Processing Systems 27, 2014


Optimal rates for k-NN density and mode estimation
Sanjoy Dasgupta and Samory Kpotufe
Advances in Neural Information Processing Systems 27, 2014


Fundamental Limits of Online and Distributed Algorithms for Statistical Learning and Estimation
Ohad Shamir
Advances in Neural Information Processing Systems 27, 2014


Discriminative Metric Learning by Neighborhood Gerrymandering
Shubhendu Trivedi, David Mcallester and Greg Shakhnarovich
Advances in Neural Information Processing Systems 27, 2014


Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators
Kai Zhong, En-hsu Yen, Inderjit S. Dhillon and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 27, 2014


Metric Learning for Temporal Sequence Alignment
Rémi Lajugie, Damien Garreau, Francis Bach and Sylvain Arlot
Advances in Neural Information Processing Systems 27, 2014


Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks
Mario Marchand, Hongyu Su, Emilie Morvant, Juho Rousu and John S. Shawe-taylor
Advances in Neural Information Processing Systems 27, 2014


Online combinatorial optimization with stochastic decision sets and adversarial losses
Gergely Neu and Michal Valko
Advances in Neural Information Processing Systems 27, 2014


Discovering, Learning and Exploiting Relevance
Cem Tekin and Mihaela Schaar
Advances in Neural Information Processing Systems 27, 2014


Extreme bandits
Alexandra Carpentier and Michal Valko
Advances in Neural Information Processing Systems 27, 2014


Stochastic Multi-Armed-Bandit Problem with Non-stationary Rewards
Omar Besbes, Yonatan Gur and Assaf Zeevi
Advances in Neural Information Processing Systems 27, 2014


Bandit Convex Optimization: Towards Tight Bounds
Elad Hazan and Kfir Levy
Advances in Neural Information Processing Systems 27, 2014


Gaussian Process Volatility Model
Yue Wu, José M. Hernández-lobato and Zoubin Ghahramani
Advances in Neural Information Processing Systems 27, 2014


Variational Gaussian Process State-Space Models
Roger Frigola, Yutian Chen and Carl Rasmussen
Advances in Neural Information Processing Systems 27, 2014


Automated Variational Inference for Gaussian Process Models
Trung V. Nguyen and Edwin V. Bonilla
Advances in Neural Information Processing Systems 27, 2014


Mind the Nuisance: Gaussian Process Classification using Privileged Noise
Daniel Hernández-lobato, Viktoriia Sharmanska, Kristian Kersting, Christoph H. Lampert and Novi Quadrianto
Advances in Neural Information Processing Systems 27, 2014


Fast Kernel Learning for Multidimensional Pattern Extrapolation
Andrew Wilson, Elad Gilboa, John P. Cunningham and Arye Nehorai
Advances in Neural Information Processing Systems 27, 2014


Nonparametric Bayesian inference on multivariate exponential families
William R. Vega-brown, Marek Doniec and Nicholas G. Roy
Advances in Neural Information Processing Systems 27, 2014


Efficient Partial Monitoring with Prior Information
Hastagiri P. Vanchinathan, Gábor Bartók and Andreas Krause
Advances in Neural Information Processing Systems 27, 2014


Conditional Swap Regret and Conditional Correlated Equilibrium
Mehryar Mohri and Scott Yang
Advances in Neural Information Processing Systems 27, 2014


Optimistic Planning in Markov Decision Processes Using a Generative Model
Balázs Szörényi, Gunnar Kedenburg and Remi Munos
Advances in Neural Information Processing Systems 27, 2014


Online and Stochastic Gradient Methods for Non-decomposable Loss Functions
Purushottam Kar, Harikrishna Narasimhan and Prateek Jain
Advances in Neural Information Processing Systems 27, 2014


Learning Time-Varying Coverage Functions
Nan Du, Yingyu Liang, Le Song and Maria-Florina Balcan
Advances in Neural Information Processing Systems 27, 2014


Shaping Social Activity by Incentivizing Users
Mehrdad Farajtabar, Nan Du, Manuel Gomez-rodriguez, Isabel Valera, Hongyuan Zha and Le Song
Advances in Neural Information Processing Systems 27, 2014


Tight Bounds for Influence in Diffusion Networks and Application to Bond Percolation and Epidemiology
Remi Lemonnier, Kevin Scaman and Nicolas Vayatis
Advances in Neural Information Processing Systems 27, 2014


Ranking via Robust Binary Classification
Hyokun Yun, Parameswaran Raman and S. Vishwanathan
Advances in Neural Information Processing Systems 27, 2014


Efficient Optimization for Average Precision SVM
Pritish Mohapatra, C.v. Jawahar and M. P. Kumar
Advances in Neural Information Processing Systems 27, 2014


Minimax-optimal Inference from Partial Rankings
Bruce Hajek, Sewoong Oh and Jiaming Xu
Advances in Neural Information Processing Systems 27, 2014


Content-based recommendations with Poisson factorization
Prem K. Gopalan, Laurent Charlin and David Blei
Advances in Neural Information Processing Systems 27, 2014


Controlling privacy in recommender systems
Yu Xin and Tommi Jaakkola
Advances in Neural Information Processing Systems 27, 2014


Probabilistic low-rank matrix completion on finite alphabets
Jean Lafond, Olga Klopp, Eric Moulines and Joseph Salmon
Advances in Neural Information Processing Systems 27, 2014


Inference by Learning: Speeding-up Graphical Model Optimization via a Coarse-to-Fine Cascade of Pruning Classifiers
Bruno Conejo, Nikos Komodakis, Sebastien Leprince and Jean P. Avouac
Advances in Neural Information Processing Systems 27, 2014


An Accelerated Proximal Coordinate Gradient Method
Qihang Lin, Zhaosong Lu and Lin Xiao
Advances in Neural Information Processing Systems 27, 2014


Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm
Deanna Needell, Rachel Ward and Nati Srebro
Advances in Neural Information Processing Systems 27, 2014


Rounding-based Moves for Metric Labeling
M. P. Kumar
Advances in Neural Information Processing Systems 27, 2014


Two-Stream Convolutional Networks for Action Recognition in Videos
Karen Simonyan and Andrew Zisserman
Advances in Neural Information Processing Systems 27, 2014


Semi-supervised Learning with Deep Generative Models
Diederik P. Kingma, Shakir Mohamed, Danilo J. Rezende and Max Welling
Advances in Neural Information Processing Systems 27, 2014


Searching for Higgs Boson Decay Modes with Deep Learning
Peter J. Sadowski, Daniel Whiteson and Pierre Baldi
Advances in Neural Information Processing Systems 27, 2014


Learning to Discover Efficient Mathematical Identities
Wojciech Zaremba, Karol Kurach and Rob Fergus
Advances in Neural Information Processing Systems 27, 2014


Learning Deep Features for Scene Recognition using Places Database
Bolei Zhou, Agata Lapedriza, Jianxiong Xiao, Antonio Torralba and Aude Oliva
Advances in Neural Information Processing Systems 27, 2014


Convolutional Kernel Networks
Julien Mairal, Piotr Koniusz, Zaid Harchaoui and Cordelia Schmid
Advances in Neural Information Processing Systems 27, 2014


How transferable are features in deep neural networks?
Jason Yosinski, Jeff Clune, Yoshua Bengio and Hod Lipson
Advances in Neural Information Processing Systems 27, 2014


Sequence to Sequence Learning with Neural Networks
Ilya Sutskever, Oriol Vinyals and Quoc Le
Advances in Neural Information Processing Systems 27, 2014


Learning Generative Models with Visual Attention
Yichuan Tang, Nitish Srivastava and Ruslan R. Salakhutdinov
Advances in Neural Information Processing Systems 27, 2014


Conditional Random Field Autoencoders for Unsupervised Structured Prediction
Waleed Ammar, Chris Dyer and Noah A. Smith
Advances in Neural Information Processing Systems 27, 2014


Spatio-temporal Representations of Uncertainty in Spiking Neural Networks
Cristina Savin and Sophie Den\`eve
Advances in Neural Information Processing Systems 27, 2014


Sparse Space-Time Deconvolution for Calcium Image Analysis
Ferran D. Andilla and Fred A. Hamprecht
Advances in Neural Information Processing Systems 27, 2014


Scalable Inference for Neuronal Connectivity from Calcium Imaging
Alyson K. Fletcher and Sundeep Rangan
Advances in Neural Information Processing Systems 27, 2014


Design Principles of the Hippocampal Cognitive Map
Kimberly L. Stachenfeld, Matthew Botvinick and Samuel J. Gershman
Advances in Neural Information Processing Systems 27, 2014


Clustered factor analysis of multineuronal spike data
Lars Buesing, Timothy A. Machado, John P. Cunningham and Liam Paninski
Advances in Neural Information Processing Systems 27, 2014


A Bayesian model for identifying hierarchically organised states in neural population activity
Patrick Putzky, Florian Franzen, Giacomo Bassetto and Jakob H. Macke
Advances in Neural Information Processing Systems 27, 2014


Feedforward Learning of Mixture Models
Matthew Lawlor and Steven W. Zucker
Advances in Neural Information Processing Systems 27, 2014


Analog Memories in a Balanced Rate-Based Network of E-I Neurons
Dylan Festa, Guillaume Hennequin and Mate Lengyel
Advances in Neural Information Processing Systems 27, 2014


Scalable Methods for Nonnegative Matrix Factorizations of Near-separable Tall-and-skinny Matrices
Austin R. Benson, Jason D. Lee, Bartek Rajwa and David F. Gleich
Advances in Neural Information Processing Systems 27, 2014


Recovery of Coherent Data via Low-Rank Dictionary Pursuit
Guangcan Liu and Ping Li
Advances in Neural Information Processing Systems 27, 2014


Large-scale L-BFGS using MapReduce
Weizhu Chen, Zhenghao Wang and Jingren Zhou
Advances in Neural Information Processing Systems 27, 2014


Discrete Graph Hashing
Wei Liu, Cun Mu, Sanjiv Kumar and Shih-fu Chang
Advances in Neural Information Processing Systems 27, 2014


Clustering from Labels and Time-Varying Graphs
Shiau H. Lim, Yudong Chen and Huan Xu
Advances in Neural Information Processing Systems 27, 2014


A Latent Source Model for Online Collaborative Filtering
Guy Bresler, George H. Chen and Devavrat Shah
Advances in Neural Information Processing Systems 27, 2014


Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS)
Anshumali Shrivastava and Ping Li
Advances in Neural Information Processing Systems 27, 2014


Median Selection Subset Aggregation for Parallel Inference
Xiangyu Wang, Peichao Peng and David B. Dunson
Advances in Neural Information Processing Systems 27, 2014


Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets
Jie Wang and Jieping Ye
Advances in Neural Information Processing Systems 27, 2014


The Noisy Power Method: A Meta Algorithm with Applications
Moritz Hardt and Eric Price
Advances in Neural Information Processing Systems 27, 2014


Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets
Adarsh Prasad, Stefanie Jegelka and Dhruv Batra
Advances in Neural Information Processing Systems 27, 2014


Predictive Entropy Search for Efficient Global Optimization of Black-box Functions
José M. Hernández-lobato, Matthew W. Hoffman and Zoubin Ghahramani
Advances in Neural Information Processing Systems 27, 2014


Learning Distributed Representations for Structured Output Prediction
Vivek Srikumar and Christopher D. Manning
Advances in Neural Information Processing Systems 27, 2014


A Differential Equation for Modeling Nesterov’s Accelerated Gradient Method: Theory and Insights
Weijie Su, Stephen Boyd and Emmanuel Candes
Advances in Neural Information Processing Systems 27, 2014


Provable Submodular Minimization using Wolfe' s Algorithm
Deeparnab Chakrabarty, Prateek Jain and Pravesh Kothari
Advances in Neural Information Processing Systems 27, 2014


On Sparse Gaussian Chain Graph Models
Calvin Mccarter and Seyoung Kim
Advances in Neural Information Processing Systems 27, 2014


Structure learning of antiferromagnetic Ising models
Guy Bresler, David Gamarnik and Devavrat Shah
Advances in Neural Information Processing Systems 27, 2014


Elementary Estimators for Graphical Models
Eunho Yang, Aurelie C. Lozano and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 27, 2014


Distributed Parameter Estimation in Probabilistic Graphical Models
Yariv D. Mizrahi, Misha Denil and Nando D. Freitas
Advances in Neural Information Processing Systems 27, 2014


Blossom Tree Graphical Models
Zhe Liu and John Lafferty
Advances in Neural Information Processing Systems 27, 2014


Projecting Markov Random Field Parameters for Fast Mixing
Xianghang Liu and Justin Domke
Advances in Neural Information Processing Systems 27, 2014


Consistency of Spectral Partitioning of Uniform Hypergraphs under Planted Partition Model
Debarghya Ghoshdastidar and Ambedkar Dukkipati
Advances in Neural Information Processing Systems 27, 2014


The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification
Been Kim, Cynthia Rudin and Julie A. Shah
Advances in Neural Information Processing Systems 27, 2014


Zeta Hull Pursuits: Learning Nonconvex Data Hulls
Yuanjun Xiong, Wei Liu, Deli Zhao and Xiaoou Tang
Advances in Neural Information Processing Systems 27, 2014


Distributed Balanced Clustering via Mapping Coresets
Mohammadhossein Bateni, Aditya Bhaskara, Silvio Lattanzi and Vahab Mirrokni
Advances in Neural Information Processing Systems 27, 2014


Dimensionality Reduction with Subspace Structure Preservation
Devansh Arpit, Ifeoma Nwogu and Venu Govindaraju
Advances in Neural Information Processing Systems 27, 2014


Graph Clustering With Missing Data: Convex Algorithms and Analysis
Ramya K. Vinayak, Samet Oymak and Babak Hassibi
Advances in Neural Information Processing Systems 27, 2014


Greedy Subspace Clustering
Dohyung Park, Constantine Caramanis and Sujay Sanghavi
Advances in Neural Information Processing Systems 27, 2014


Convex Optimization Procedure for Clustering: Theoretical Revisit
Changbo Zhu, Huan Xu, Chenlei Leng and Shuicheng Yan
Advances in Neural Information Processing Systems 27, 2014


On Integrated Clustering and Outlier Detection
Lionel Ott, Linsey Pang, Fabio T. Ramos and Sanjay Chawla
Advances in Neural Information Processing Systems 27, 2014


Robust Bayesian Max-Margin Clustering
Changyou Chen, Jun Zhu and Xinhua Zhang
Advances in Neural Information Processing Systems 27, 2014


On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification
Yingzhen Yang, Feng Liang, Shuicheng Yan, Zhangyang Wang and Thomas S. Huang
Advances in Neural Information Processing Systems 27, 2014


Learning a Concept Hierarchy from Multi-labeled Documents
Viet-an Nguyen, Jordan L. Boyd-graber, Philip Resnik and Jonathan Chang
Advances in Neural Information Processing Systems 27, 2014


A provable SVD-based algorithm for learning topics in dominant admixture corpus
Trapit Bansal, Chiranjib Bhattacharyya and Ravindran Kannan
Advances in Neural Information Processing Systems 27, 2014


Dynamic Rank Factor Model for Text Streams
Shaobo Han, Lin Du, Esther Salazar and Lawrence Carin
Advances in Neural Information Processing Systems 27, 2014


Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs
David Inouye, Pradeep K. Ravikumar and Inderjit S. Dhillon
Advances in Neural Information Processing Systems 27, 2014


The Infinite Mixture of Infinite Gaussian Mixtures
Halid Z. Yerebakan, Bartek Rajwa and Murat Dundar
Advances in Neural Information Processing Systems 27, 2014


Beta-Negative Binomial Process and Exchangeable Random Partitions for Mixed-Membership Modeling
Mingyuan Zhou
Advances in Neural Information Processing Systems 27, 2014


Spectral k-Support Norm Regularization
Andrew M. Mcdonald, Massimiliano Pontil and Dimitris Stamos
Advances in Neural Information Processing Systems 27, 2014


Parallel Feature Selection Inspired by Group Testing
Yingbo Zhou, Utkarsh Porwal, Ce Zhang, Hung Q. Ngo, Long Nguyen, Christopher Ré and Venu Govindaraju
Advances in Neural Information Processing Systems 27, 2014


Generalized Dantzig Selector: Application to the k-support norm
Soumyadeep Chatterjee, Sheng Chen and Arindam Banerjee
Advances in Neural Information Processing Systems 27, 2014


A Safe Screening Rule for Sparse Logistic Regression
Jie Wang, Jiayu Zhou, Jun Liu, Peter Wonka and Jieping Ye
Advances in Neural Information Processing Systems 27, 2014


On Iterative Hard Thresholding Methods for High-dimensional M-Estimation
Prateek Jain, Ambuj Tewari and Purushottam Kar
Advances in Neural Information Processing Systems 27, 2014


Exact Post Model Selection Inference for Marginal Screening
Jason D. Lee and Jonathan E. Taylor
Advances in Neural Information Processing Systems 27, 2014


Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations
Xianjie Chen and Alan L. Yuille
Advances in Neural Information Processing Systems 27, 2014


Zero-shot recognition with unreliable attributes
Dinesh Jayaraman and Kristen Grauman
Advances in Neural Information Processing Systems 27, 2014


A Unified Semantic Embedding: Relating Taxonomies and Attributes
Sung J. Hwang and Leonid Sigal
Advances in Neural Information Processing Systems 27, 2014


Predicting Useful Neighborhoods for Lazy Local Learning
Aron Yu and Kristen Grauman
Advances in Neural Information Processing Systems 27, 2014


Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm
Jun Zhu, Junhua Mao and Alan L. Yuille
Advances in Neural Information Processing Systems 27, 2014


Self-Adaptable Templates for Feature Coding
Xavier Boix, Gemma Roig, Salomon Diether and Luc V. Gool
Advances in Neural Information Processing Systems 27, 2014


Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors
Lingqiao Liu, Chunhua Shen, Lei Wang, Anton Hengel and Chao Wang
Advances in Neural Information Processing Systems 27, 2014


Weakly-supervised Discovery of Visual Pattern Configurations
Hyun O. Song, Yong J. Lee, Stefanie Jegelka and Trevor Darrell
Advances in Neural Information Processing Systems 27, 2014


Multiscale Fields of Patterns
Pedro Felzenszwalb and John G. Oberlin
Advances in Neural Information Processing Systems 27, 2014


Recursive Context Propagation Network for Semantic Scene Labeling
Abhishek Sharma, Oncel Tuzel and Ming-yu Liu
Advances in Neural Information Processing Systems 27, 2014


Deep Fragment Embeddings for Bidirectional Image Sentence Mapping
Andrej Karpathy, Armand Joulin and Fei Li
Advances in Neural Information Processing Systems 27, 2014


Restricted Boltzmann machines modeling human choice
Takayuki Osogami and Makoto Otsuka
Advances in Neural Information Processing Systems 27, 2014


Improved Multimodal Deep Learning with Variation of Information
Kihyuk Sohn, Wenling Shang and Honglak Lee
Advances in Neural Information Processing Systems 27, 2014


General Stochastic Networks for Classification
Matthias Zöhrer and Franz Pernkopf
Advances in Neural Information Processing Systems 27, 2014


Iterative Neural Autoregressive Distribution Estimator NADE-k
Tapani Raiko, Yao Li, Kyunghyun Cho and Yoshua Bengio
Advances in Neural Information Processing Systems 27, 2014


Deep Networks with Internal Selective Attention through Feedback Connections
Marijn F. Stollenga, Jonathan Masci, Faustino Gomez and Jürgen Schmidhuber
Advances in Neural Information Processing Systems 27, 2014


Global Belief Recursive Neural Networks
Romain Paulus, Richard Socher and Christopher D. Manning
Advances in Neural Information Processing Systems 27, 2014


A framework for studying synaptic plasticity with neural spike train data
Scott Linderman, Christopher H. Stock and Ryan P. Adams
Advances in Neural Information Processing Systems 27, 2014


Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks
Yanping Huang and Rajesh P. Rao
Advances in Neural Information Processing Systems 27, 2014


Using Convolutional Neural Networks to Recognize Rhythm Stimuli from Electroencephalography Recordings
Sebastian Stober, Daniel J. Cameron and Jessica A. Grahn
Advances in Neural Information Processing Systems 27, 2014


Pre-training of Recurrent Neural Networks via Linear Autoencoders
Luca Pasa and Alessandro Sperduti
Advances in Neural Information Processing Systems 27, 2014


An Autoencoder Approach to Learning Bilingual Word Representations
Sarath P, Stanislas Lauly, Hugo Larochelle, Mitesh Khapra, Balaraman Ravindran, Vikas C. Raykar and Amrita Saha
Advances in Neural Information Processing Systems 27, 2014


Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights
Daniel Soudry, Itay Hubara and Ron Meir
Advances in Neural Information Processing Systems 27, 2014


Attentional Neural Network: Feature Selection Using Cognitive Feedback
Qian Wang, Jiaxing Zhang, Sen Song and Zheng Zhang
Advances in Neural Information Processing Systems 27, 2014


On the Computational Efficiency of Training Neural Networks
Roi Livni, Shai Shalev-shwartz and Ohad Shamir
Advances in Neural Information Processing Systems 27, 2014


Information-based learning by agents in unbounded state spaces
Shariq A. Mobin, James A. Arnemann and Fritz Sommer
Advances in Neural Information Processing Systems 27, 2014


Fast Sampling-Based Inference in Balanced Neuronal Networks
Guillaume Hennequin, Laurence Aitchison and Mate Lengyel
Advances in Neural Information Processing Systems 27, 2014


Inferring sparse representations of continuous signals with continuous orthogonal matching pursuit
Karin C. Knudson, Jacob Yates, Alexander Huk and Jonathan W. Pillow
Advances in Neural Information Processing Systems 27, 2014


Low-dimensional models of neural population activity in sensory cortical circuits
Evan W. Archer, Urs Koster, Jonathan W. Pillow and Jakob H. Macke
Advances in Neural Information Processing Systems 27, 2014


Inferring synaptic conductances from spike trains with a biophysically inspired point process model
Kenneth W. Latimer, E. J. Chichilnisky, Fred Rieke and Jonathan W. Pillow
Advances in Neural Information Processing Systems 27, 2014


Simple MAP Inference via Low-Rank Relaxations
Roy Frostig, Sida Wang, Percy S. Liang and Christopher D. Manning
Advances in Neural Information Processing Systems 27, 2014


Local Linear Convergence of Forward--Backward under Partial Smoothness
Jingwei Liang, Jalal Fadili and Gabriel Peyré
Advances in Neural Information Processing Systems 27, 2014


Time--Data Tradeoffs by Aggressive Smoothing
John J. Bruer, Joel A. Tropp, Volkan Cevher and Stephen Becker
Advances in Neural Information Processing Systems 27, 2014


SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives
Aaron Defazio, Francis Bach and Simon Lacoste-julien
Advances in Neural Information Processing Systems 27, 2014


Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings
En-hsu Yen, Cho-jui Hsieh, Pradeep K. Ravikumar and Inderjit S. Dhillon
Advances in Neural Information Processing Systems 27, 2014


Parallel Direction Method of Multipliers
Huahua Wang, Arindam Banerjee and Zhi-quan Luo
Advances in Neural Information Processing Systems 27, 2014


On the Convergence Rate of Decomposable Submodular Function Minimization
Robert Nishihara, Stefanie Jegelka and Michael I. Jordan
Advances in Neural Information Processing Systems 27, 2014


Quantized Estimation of Gaussian Sequence Models in Euclidean Balls
Yuancheng Zhu and John Lafferty
Advances in Neural Information Processing Systems 27, 2014


Consistency of weighted majority votes
Daniel Berend and Aryeh Kontorovitch
Advances in Neural Information Processing Systems 27, 2014


Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time
Zhaoran Wang, Huanran Lu and Han Liu
Advances in Neural Information Processing Systems 27, 2014


Near-Optimal-Sample Estimators for Spherical Gaussian Mixtures
Ananda T. Suresh, Alon Orlitsky, Jayadev Acharya and Ashkan Jafarpour
Advances in Neural Information Processing Systems 27, 2014


A Representation Theory for Ranking Functions
Harsh H. Pareek and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 27, 2014


Weighted importance sampling for off-policy learning with linear function approximation
A. R. Mahmood, Hado Hasselt and Richard S. Sutton
Advances in Neural Information Processing Systems 27, 2014


Probabilistic Differential Dynamic Programming
Yunpeng Pan and Evangelos Theodorou
Advances in Neural Information Processing Systems 27, 2014


Sparse Multi-Task Reinforcement Learning
Daniele Calandriello, Alessandro Lazaric and Marcello Restelli
Advances in Neural Information Processing Systems 27, 2014


Algorithms for CVaR Optimization in MDPs
Yinlam Chow and Mohammad Ghavamzadeh
Advances in Neural Information Processing Systems 27, 2014


Model-based Reinforcement Learning and the Eluder Dimension
Ian Osband and Benjamin V. Roy
Advances in Neural Information Processing Systems 27, 2014


Online Decision-Making in General Combinatorial Spaces
Arun Rajkumar and Shivani Agarwal
Advances in Neural Information Processing Systems 27, 2014


Efficient Minimax Strategies for Square Loss Games
Wouter M. Koolen, Alan Malek and Peter L. Bartlett
Advances in Neural Information Processing Systems 27, 2014


Delay-Tolerant Algorithms for Asynchronous Distributed Online Learning
Brendan Mcmahan and Matthew Streeter
Advances in Neural Information Processing Systems 27, 2014


Learning the Learning Rate for Prediction with Expert Advice
Wouter M. Koolen, Tim V. Erven and Peter Grünwald
Advances in Neural Information Processing Systems 27, 2014


Subspace Embeddings for the Polynomial Kernel
Haim Avron, Huy Nguyen and David Woodruff
Advances in Neural Information Processing Systems 27, 2014


Kernel Mean Estimation via Spectral Filtering
Krikamol Muandet, Bharath Sriperumbudur and Bernhard Schölkopf
Advances in Neural Information Processing Systems 27, 2014


Scalable Kernel Methods via Doubly Stochastic Gradients
Bo Dai, Bo Xie, Niao He, Yingyu Liang, Anant Raj, Le Song and Maria-Florina Balcan
Advances in Neural Information Processing Systems 27, 2014


Learning with Fredholm Kernels
Qichao Que, Mikhail Belkin and Yusu Wang
Advances in Neural Information Processing Systems 27, 2014


Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology
Mehmet Gönen and Adam A. Margolin
Advances in Neural Information Processing Systems 27, 2014


Parallel Sampling of HDPs using Sub-Cluster Splits
Jason Chang and John Iii
Advances in Neural Information Processing Systems 27, 2014


Mondrian Forests: Efficient Online Random Forests
Balaji Lakshminarayanan, Daniel M. Roy and Yee W. Teh
Advances in Neural Information Processing Systems 27, 2014


Sparse Bayesian structure learning with dependent relevance determination priors
Anqi Wu, Mijung Park, Oluwasanmi O. Koyejo and Jonathan W. Pillow
Advances in Neural Information Processing Systems 27, 2014


Dependent nonparametric trees for dynamic hierarchical clustering
Kumar Dubey, Qirong Ho, Sinead A. Williamson and Eric P. Xing
Advances in Neural Information Processing Systems 27, 2014


General Table Completion using a Bayesian Nonparametric Model
Isabel Valera and Zoubin Ghahramani
Advances in Neural Information Processing Systems 27, 2014


Sensory Integration and Density Estimation
Joseph G. Makin and Philip N. Sabes
Advances in Neural Information Processing Systems 27, 2014


Distributed Estimation, Information Loss and Exponential Families
Qiang Liu and Alex T. Ihler
Advances in Neural Information Processing Systems 27, 2014


Robust Kernel Density Estimation by Scaling and Projection in Hilbert Space
Robert A. Vandermeulen and Clayton Scott
Advances in Neural Information Processing Systems 27, 2014


Factoring Variations in Natural Images with Deep Gaussian Mixture Models
Aaron Oord and Benjamin Schrauwen
Advances in Neural Information Processing Systems 27, 2014


Near-Optimal Density Estimation in Near-Linear Time Using Variable-Width Histograms
Siu O. Chan, Ilias Diakonikolas, Rocco A. Servedio and Xiaorui Sun
Advances in Neural Information Processing Systems 27, 2014


Learning Mixed Multinomial Logit Model from Ordinal Data
Sewoong Oh and Devavrat Shah
Advances in Neural Information Processing Systems 27, 2014


Magnitude-sensitive preference formation
Nisheeth Srivastava, Ed Vul and Paul R. Schrater
Advances in Neural Information Processing Systems 27, 2014


SerialRank: Spectral Ranking using Seriation
Fajwel Fogel, Alexandre D. Aspremont and Milan Vojnovic
Advances in Neural Information Processing Systems 27, 2014


Top Rank Optimization in Linear Time
Nan Li, Rong Jin and Zhi-hua Zhou
Advances in Neural Information Processing Systems 27, 2014