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All publications in 2013
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Direct Modeling of Complex Invariances for Visual Object Features
Ka Y. Hui
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Activized Learning with Uniform Classification Noise
Liu Yang and Steve Hanneke
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Scalable Optimization of Neighbor Embedding for Visualization
Zhirong Yang, Jaakko Peltonen and Samuel Kaski
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Mixture of Mutually Exciting Processes for Viral Diffusion
Shuang-hong Yang and Hongyuan Zha
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Monochromatic Bi-Clustering
Sharon Wulff, Ruth Urner and Shai Ben-david
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Hierarchically-coupled hidden Markov models for learning kinetic rates from single-molecule data
Jan-willem Meent, Jonathan Bronson, Frank Wood, Ruben G. Jr. and Chris Wiggins
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Label Partitioning For Sublinear Ranking
Jason Weston, Ameesh Makadia and Hector Yee
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Sequential Bayesian Search
Zheng Wen, Branislav Kveton, Brian Eriksson and Sandilya Bhamidipati
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Subproblem-Tree Calibration: A Unified Approach to Max-Product Message Passing
Huayan Wang and Koller Daphne
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Fast dropout training
Sida Wang and Christopher Manning
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Stochastic Simultaneous Optimistic Optimization
Michal Valko, Alexandra Carpentier and Rémi Munos
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Generic Exploration and K-armed Voting Bandits
Tanguy Urvoy, Fabrice Clerot, Raphael Féraud and Sami Naamane
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions
Quoc T. Dinh, Anastasios Kyrillidis and Volkan Cevher
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Thurstonian Boltzmann Machines: Learning from Multiple Inequalities
Truyen Tran, Dinh Phung and Svetha Venkatesh
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Margins, Shrinkage, and Boosting
Matus Telgarsky
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines
Kihyuk Sohn, Guanyu Zhou, Chansoo Lee and Honglak Lee
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Modeling Musical Influence with Topic Models
Uri Shalit, Daphna Weinshall and Gal Chechik
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Exploring the Mind: Integrating Questionnaires and fMRI
Esther Salazar, Ryan Bogdan, Adam Gorka, Ahmad Hariri and Lawrence Carin
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Strict Monotonicity of Sum of Squares Error and Normalized Cut in the Lattice of Clusterings
Nicola Rebagliati
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


An Adaptive Learning Rate for Stochastic Variational Inference
Rajesh Ranganath, Chong Wang, Blei David and Eric Xing
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Sparse coding for multitask and transfer learning
Andreas Maurer, Massi Pontil and Bernardino Romera-paredes
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Gaussian Process Vine Copulas for Multivariate Dependence
David Lopez-paz, Jose M. Hernández-lobato and Zoubin Ghahramani
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Local Low-Rank Matrix Approximation
Joonseok Lee, Seungyeon Kim, Guy Lebanon and Yoram Singer
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Sparse projections onto the simplex
Anastasios Kyrillidis, Stephen Becker, Volkan Cevher and Christoph Koch
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Ellipsoidal Multiple Instance Learning
Gabriel Krummenacher, Cheng S. Ong and Joachim Buhmann
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A Variational Approximation for Topic Modeling of Hierarchical Corpora
Do-kyum Kim, Geoffrey Voelker and Lawrence K. Saul
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Hierarchical Regularization Cascade for Joint Learning
Alon Zweig and Daphna Weinshall
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning Triggering Kernels for Multi-dimensional Hawkes Processes
Ke Zhou, Hongyuan Zha and Le Song
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions
Lijun Zhang, Tianbao Yang, Rong Jin and Xiaofei He
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Domain Adaptation under Target and Conditional Shift
Kun Zhang, Bernhard Schlkopf, Krikamol Muandet and Zhikun Wang
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Online Kernel Learning with a Near Optimal Sparsity Bound
Lijun Zhang, Jinfeng Yi, Rong Jin, Ming Lin and Xiaofei He
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels
Kai Zhang, Vincent Zheng, Qiaojun Wang, James Kwok, Qiang Yang and Ivan Marsic
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


MILEAGE: Multiple Instance LEArning with Global Embedding
Dan Zhang, Jingrui He, Luo Si and Richard Lawrence
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning Fair Representations
Rich Zemel, Yu Wu, Kevin Swersky, Toni Pitassi and Cynthia Dwork
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


$\propto$SVM for Learning with Label Proportions
Felix Yu, Dong Liu, Sanjiv Kumar, Jebara Tony and Shih-fu Chang
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Infinite Positive Semidefinite Tensor Factorization for Source Separation of Mixture Signals
Kazuyoshi Yoshii, Ryota Tomioka, Daichi Mochihashi and Masataka Goto
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion
Jinfeng Yi, Lijun Zhang, Rong Jin, Qi Qian and Anil Jain
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Quantile Regression for Large-scale Applications
Jiyan Yang, Xiangrui Meng and Michael Mahoney
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A Unified Robust Regression Model for Lasso-like Algorithms
Wenzhuo Yang and Huan Xu
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Multi-Task Learning with Gaussian Matrix Generalized Inverse Gaussian Model
Ming Yang, Yingming Li and Zhongfei University)
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Anytime Representation Learning
Zhixiang Xu, Matt Kusner, Gao Huang and Kilian Q. Weinberger
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Fast Max-Margin Matrix Factorization with Data Augmentation
Minjie Xu, Jun Zhu and Bo Zhang
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting
Matt Wytock and Zico Kolter
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Dynamic Covariance Models for Multivariate Financial Time Series
Yue Wu, Jose M. Hernandez-lobato and Ghahramani Zoubin
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Gaussian Process Kernels for Pattern Discovery and Extrapolation
Andrew Wilson and Ryan Adams
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


LDA Topic Model with Soft Assignment of Descriptors to Words
Daphna Weinshall, Gal Levi and Dmitri Hanukaev
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Efficient Ranking from Pairwise Comparisons
Fabian Wauthier, Michael Jordan and Nebojsa Jojic
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Adaptive Hamiltonian and Riemann Manifold Monte Carlo
Ziyu Wang, Shakir Mohamed and De Nando
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Max-Margin Multiple-Instance Dictionary Learning
Xinggang Wang, Baoyuan Wang, Xiang Bai, Wenyu Liu and Zhuowen Tu
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Multi-View Clustering and Feature Learning via Structured Sparsity
Hua Wang, Feiping Nie and Heng Huang
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Robust and Discriminative Self-Taught Learning
Hua Wang, Feiping Nie and Heng Huang
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A Fast and Exact Energy Minimization Algorithm for Cycle MRFs
Huayan Wang and Koller Daphne
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Regularization of Neural Networks using DropConnect
Li Wan, Matthew Zeiler, Sixin Zhang, Yann L. Cun and Rob Fergus
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Entropic Affinities: Properties and Efficient Numerical Computation
Max Vladymyrov and Miguel Carreira-perpinan
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Planning by Prioritized Sweeping with Small Backups
Harm V. Seijen and Rich Sutton
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Expensive Function Optimization with Stochastic Binary Outcomes
Matthew Tesch, Jeff Schneider and Howie Choset
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Spectral Experts for Estimating Mixtures of Linear Regressions
Arun T. Chaganty and Percy Liang
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning
Daniel Tarlow, Kevin Swersky, Laurent Charlin, Ilya Sutskever and Rich Zemel
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Tensor Analyzers
Yichuan Tang, Ruslan Salakhutdinov and Geoffrey Hinton
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Temporal Difference Methods for the Variance of the Reward To Go
Aviv Tamar, Dotan D. Castro and Shie Mannor
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Mini-Batch Primal and Dual Methods for SVMs
Martin Takac, Avleen Bijral, Peter Richtarik and Nati Srebro
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Gossip-based distributed stochastic bandit algorithms
Balazs Szorenyi, Robert Busa-fekete, Istvan Hegedus, Robert Ormandi, Mark Jelasity and Balazs Kegl
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


On the importance of initialization and momentum in deep learning
Ilya Sutskever, James Martens, George Dahl and Geoffrey Hinton
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Saving Evaluation Time for the Decision Function in Boosting: Representation and Reordering Base Learner
Peng Sun and Jie Zhou
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Hierarchical Tensor Decomposition of Latent Tree Graphical Models
Le Song, Mariya Ishteva, Ankur Parikh, Eric Xing and Haesun Park
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Coco-Q: Learning in Stochastic Games with Side Payments
Eric Sodomka, Elizabeth Hilliard, Michael Littman and Amy Greenwald
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning the beta-Divergence in Tweedie Compound Poisson Matrix Factorization Models
Umut Simsekli, Ali Cemgil and Yusuf K. Yilmaz
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Concurrent Reinforcement Learning from Customer Interactions
David Silver, Leonard Newnham, David Barker, Suzanne Weller and Jason Mcfall
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Computation-Risk Tradeoffs for Covariance-Thresholded Regression
Dinah Shender and John Lafferty
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Approximate Inference in Collective Graphical Models
Daniel Sheldon, Tao Sun, Akshat Kumar and Tom Dietterich
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


No more pesky learning rates
Tom Schaul, Sixin Zhang and Yann Lecun
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Feature Multi-Selection among Subjective Features
Sivan Sabato and Adam Kalai
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning Policies for Contextual Submodular Prediction
Stephane Ross, Jiaji Zhou, Yisong Yue, Debadeepta Dey and Drew Bagnell
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Nonparametric Mixture of Gaussian Processes with Constraints
James Ross and Jennifer Dy
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Multilinear Multitask Learning
Bernardino Romera-paredes, Hane Aung, Nadia Bianchi-berthouze and Massimiliano Pontil
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Intersecting singularities for multi-structured estimation
Emile Richard, Francis Bach and Jean-philippe Vert
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Scaling the Indian Buffet Process via Submodular Maximization
Colorado Reed and Ghahramani Zoubin
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Predictable Dual-View Hashing
Mohammad Rastegari, Jonghyun Choi, Shobeir Fakhraei, Daume Hal and Larry Davis
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Stable Coactive Learning via Perturbation
Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy and Tobias Schnabel
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Message passing with l1 penalized KL minimization
Yuan Qi and Yandong Guo
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Safe Policy Iteration
Matteo Pirotta, Marcello Restelli, Alessio Pecorino and Daniele Calandriello
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


The Most Generative Maximum Margin Bayesian Networks
Robert Peharz, Sebastian Tschiatschek and Franz Pernkopf
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


On the difficulty of training recurrent neural networks
Razvan Pascanu, Tomas Mikolov and Yoshua Bengio
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Sparse PCA through Low-rank Approximations
Dimitris Papailiopoulos, Alexandros Dimakis and Stavros Korokythakis
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Distribution to Distribution Regression
Junier Oliva, Barnabas Poczos and Jeff Schneider
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Safe Screening of Non-Support Vectors in Pathwise SVM Computation
Kohei Ogawa, Yoshiki Suzuki and Ichiro Takeuchi
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Infinitesimal Annealing for Training Semi-Supervised Support Vector Machines
Kohei Ogawa, Motoki Imamura, Ichiro Takeuchi and Masashi Sugiyama
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning
Gang Niu, Wittawat Jitkrittum, Bo Dai, Hirotaka Hachiya and Masashi Sugiyama
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Algorithms for Direct 0--1 Loss Optimization in Binary Classification
Tan Nguyen and Scott Sanner
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Loss-Proportional Subsampling for Subsequent ERM
Paul Mineiro and Nikos Karampatziakis
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance
Aditya Menon, Harikrishna Narasimhan, Shivani Agarwal and Sanjay Chawla
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Robust Regression on MapReduce
Xiangrui Meng and Michael Mahoney
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Scalable Simple Random Sampling and Stratified Sampling
Xiangrui Meng
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning invariant features by harnessing the aperture problem
Roland Memisevic and Georgios Exarchakis
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Exact Rule Learning via Boolean Compressed Sensing
Dmitry Malioutov and Kush Varshney
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Optimization with First-Order Surrogate Functions
Julien Mairal
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Estimating Unknown Sparsity in Compressed Sensing
Miles Lopes
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Consistency versus Realizable H-Consistency for Multiclass Classification
Phil Long and Rocco Servedio
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Collective Stability in Structured Prediction: Generalization from One Example
Ben London, Bert Huang, Ben Taskar and Lise Getoor
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Guaranteed Sparse Recovery under Linear Transformation
Ji Liu, Lei Yuan and Jieping Ye
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Guided Policy Search
Sergey Levine and Vladlen Koltun
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Fastfood - Computing Hilbert Space Expansions in loglinear time
Quoc Le, Tamas Sarlos and Alexander Smola
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


The Sample-Complexity of General Reinforcement Learning
Tor Lattimore, Marcus Hutter and Peter Sunehag
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Top-down particle filtering for Bayesian decision trees
Balaji Lakshminarayanan, Daniel Roy and Yee W. Teh
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Stability and Hypothesis Transfer Learning
Ilja Kuzborskij and Francesco Orabona
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Fast algorithms for sparse principal component analysis based on Rayleigh quotient iteration
Volodymyr Kuleshov
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Parameter Learning and Convergent Inference for Dense Random Fields
Philipp Kraehenbuehl and Vladlen Koltun
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning Spatio-Temporal Structure from RGB-D Videos for Human Activity Detection and Anticipation
Hema Koppula and Ashutosh Saxena
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


On learning parametric-output HMMs
Aryeh Kontorovich, Boaz Nadler and Roi Weiss
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Inference algorithms for pattern-based CRFs on sequence data
Vladimir Kolmogorov and Rustem Takhanov
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Markov Network Estimation From Multi-attribute Data
Mladen Kolar, Han Liu and Eric Xing
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Manifold Preserving Hierarchical Topic Models for Quantization and Approximation
Minje Kim and Paris Smaragdis
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Almost Optimal Exploration in Multi-Armed Bandits
Zohar Karnin, Tomer Koren and Oren Somekh
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions
Purushottam Kar, Bharath Sriperumbudur, Prateek Jain and Harish Karnick
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


On autoencoder scoring
Hanna Kamyshanska and Roland Memisevic
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


The Bigraphical Lasso
Alfredo Kalaitzis, John Lafferty, Neil Lawrence and Shuheng Zhou
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning from Human-Generated Lists
Kwang-sung Jun, Jerry Zhu, Burr Settles and Timothy Rogers
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Analogy-preserving Semantic Embedding for Visual Object Categorization
Sung J. Hwang, Kristen Grauman and Fei Sha
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Scale Invariant Conditional Dependence Measures
Sashank J. Reddi and Barnabas Poczos
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Online Learning under Delayed Feedback
Pooria Joulani, Andras Gyorgy and Csaba Szepesvari
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Local Deep Kernel Learning for Efficient Non-linear SVM Prediction
Cijo Jose, Prasoon Goyal, Parv Aggrwal and Manik Varma
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


On Compact Codes for Spatially Pooled Features
Yangqing Jia, Oriol Vinyals and Trevor Darrell
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning Convex QP Relaxations for Structured Prediction
Jeremy Jancsary, Sebastian Nowozin and Carsten Rother
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Differentially Private Learning with Kernels
Prateek Jain and Abhradeep Thakurta
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Algebraic classifiers: a generic approach to fast cross-validation, online training, and parallel training
Michael Izbicki
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Fast Semidifferential-based Submodular Function Optimization
Rishabh Iyer, Stefanie Jegelka and Jeff Bilmes
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Unfolding Latent Tree Structures using 4th Order Tensors
Mariya Ishteva, Haesun Park and Le Song
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Spectral Learning of Hidden Markov Models from Dynamic and Static Data
Tzu-kuo Huang and Jeff Schneider
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Two-Sided Exponential Concentration Bounds for Bayes Error Rate and Shannon Entropy
Jean Honorio and Jaakkola Tommi
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


The lasso, persistence, and cross-validation
Darren Homrighausen and Daniel Mcdonald
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression
Toby Hocking, Guillem Rigaill, Jean-philippe Vert and Francis Bach
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


On A Nonlinear Generalization of Sparse Coding and Dictionary Learning
Jeffrey Ho, Yuchen Xie and Baba Vemuri
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Modeling Temporal Evolution and Multiscale Structure in Networks
Tue Herlau, Morten Mrup and Mikkel Schmidt
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Natural Image Bases to Represent Neuroimaging Data
Ashish Gupta, Murat Ayhan and Anthony Maida
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Factorial Multi-Task Learning : A Bayesian Nonparametric Approach
Sunil Gupta, Dinh Phung and Svetha Venkatesh
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Smooth Operators
Steffen Grunewalder, Gretton Arthur and John Shawe-taylor
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Bayesian Games for Adversarial Regression Problems
Michael Grohans, Christoph Sawade, Michael Brckner and Tobias Scheffer
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


The Cross-Entropy Method Optimizes for Quantiles
Sergiu Goschin, Ari Weinstein and Michael Littman
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


One-Bit Compressed Sensing: Provable Support and Vector Recovery
Sivakant Gopi, Praneeth Netrapalli, Prateek Jain and Aditya Nori
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Maxout Networks
Ian Goodfellow, David Warde-farley, Mehdi Mirza, Aaron Courville and Yoshua Bengio
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Kernelized Bayesian Matrix Factorization
Mehmet Gnen, Suleiman Khan and Samuel Kaski
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Modeling Information Propagation with Survival Theory
Manuel Gomez-rodriguez, Jure Leskovec and Bernhard Schlkopf
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Revisiting the Nystrom method for improved large-scale machine learning
Alex Gittens and Michael Mahoney
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers
Pascal Germain, Amaury Habrard, Franois Laviolette and Emilie Morvant
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Multiple-source cross-validation
Krzysztof Geras and Charles Sutton
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A non-IID Framework for Collaborative Filtering with Restricted Boltzmann Machines
Kostadin Georgiev and Preslav Nakov
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning the Structure of Sum-Product Networks
Robert Gens and Domingos Pedro
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


One-Pass AUC Optimization
Wei Gao, Rong Jin, Shenghuo Zhu and Zhi-hua Zhou
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Copy or Coincidence? A Model for Detecting Social Influence and Duplication Events
Lisa Friedland, David Jensen and Michael Lavine
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models
Mohammad E. Khan, Aleksandr Aravkin, Michael Friedlander and Matthias Seeger
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Structure Discovery in Nonparametric Regression through Compositional Kernel Search
David Duvenaud, James Lloyd, Roger Grosse, Joshua Tenenbaum and Ghahramani Zoubin
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Sharp Generalization Error Bounds for Randomly-projected Classifiers
Robert Durrant and Ata Kaban
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Topic Discovery through Data Dependent and Random Projections
Weicong Ding, Mohammad H. Rohban, Prakash Ishwar and Venkatesh Saligrama
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


ABC Reinforcement Learning
Christos Dimitrakakis and Nikolaos Tziortziotis
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Consistency of Online Random Forests
Misha Denil, David Matheson and De Nando
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization
Krzysztof Dembczynski, Arkadiusz Jachnik, Wojciech Kotlowski, Willem Waegeman and Eyke Huellermeier
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Better Rates for Any Adversarial Deterministic MDP
Ofer Dekel and Elad Hazan
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning Heteroscedastic Models by Convex Programming under Group Sparsity
Arnak Dalalyan, Mohamed Hebiri, Katia Meziani and Joseph Salmon
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Mean Reversion with a Variance Threshold
Marco Cuturi and Alexandre D'aspremont
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Tree-Independent Dual-Tree Algorithms
Ryan Curtin, William March, Parikshit Ram, David Anderson, Alexander Gray and Charles Isbell
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


That was fast! Speeding up NN search of high dimensional distributions.
Emanuele Coviello, Adeel Mumtaz, Antoni Chan and Gert Lanckriet
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Multi-Class Classification with Maximum Margin Multiple Kernel
Corinna Cortes, Mehryar Mohri and Afshin Rostamizadeh
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Deep learning with COTS HPC systems
Adam Coates, Brody Huval, Tao Wang, David Wu, Bryan Catanzaro and Ng Andrew
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Topic Model Diagnostics: Assessing Domain Relevance via Topical Alignment
Jason Chuang, Sonal Gupta, Christopher Manning and Jeffrey Heer
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Simple Sparsification Improves Sparse Denoising Autoencoders in Denoising Highly Corrupted Images
Kyunghyun Cho
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Riemannian Similarity Learning
Li Cheng
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Robust Sparse Regression under Adversarial Corruption
Yudong Chen, Constantine Caramanis and Shie Mannor
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Fast Image Tagging
Minmin Chen, Alice Zheng and Kilian Q. Weinberger
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Dependent Normalized Random Measures
Changyou Chen, Vinayak Rao, Wray Buntine and Yee W. Teh
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Spectral Compressed Sensing via Structured Matrix Completion
Yuxin Chen and Yuejie Chi
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing
Xi Chen, Qihang Lin and Dengyong Zhou
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Infinite Markov-Switching Maximum Entropy Discrimination Machines
Sotirios Chatzis
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Joint Transfer and Batch-mode Active Learning
Rita Chattopadhyay, Wei Fan, Ian Davidson, Sethuraman Panchanathan and Jieping Ye
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Top-k Selection based on Adaptive Sampling of Noisy Preferences
Robert Busa-fekete, Balazs Szorenyi, Weiwei Cheng, Paul Weng and Eyke Huellermeier
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


The Extended Parameter Filter
Yusuf B. Erol, Lei Li, Bharath Ramsundar and Russell Stuart
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


An Efficient Posterior Regularized Latent Variable Model for Interactive Sound Source Separation
Nicholas Bryan and Gautham Mysore
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


MAD-Bayes: MAP-based Asymptotic Derivations from Bayes
Tamara Broderick, Brian Kulis and Michael Jordan
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Solving Continuous POMDPs: Value Iteration with Incremental Learning of an Efficient Space Representation
Sebastian Brechtel, Tobias Gindele and Rdiger Dillmann
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Efficient Multi-label Classification with Many Labels
Wei Bi and James Kwok
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Bayesian Learning of Recursively Factored Environments
Marc Bellemare, Joel Veness and Michael Bowling
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Exploiting Ontology Structures and Unlabeled Data for Learning
Avrim Blum, Yishay Mansour and Maria-Florina Balcan
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations
Krishnakumar Balasubramanian, Kai Yu and Guy Lebanon
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Non-Linear Stationary Subspace Analysis with Application to Video Classification
Mahsa Baktashmotlagh, Mehrtash Harandi, Abbas Bigdeli, Brian Lovell and Mathieu Salzmann
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Cost-sensitive Multiclass Classification Risk Bounds
Bernardo V. Pires, Csaba Szepesvari and Mohammad Ghavamzadeh
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Quickly Boosting Decision Trees -- Pruning Underachieving Features Early
Ron Appel, Thomas Fuchs, Piotr Dollar and Pietro Perona
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Deep Canonical Correlation Analysis
Galen Andrew, Raman Arora, Jeff Bilmes and Karen Livescu
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning Multiple Behaviors from Unlabeled Demonstrations in a Latent Controller Space
Javier Almingol, Lui Montesano and Manuel Lopes
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A Local Algorithm for Finding Well-Connected Clusters
Zeyuan A. Zhu, Silvio Lattanzi and Vahab Mirrokni
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Breaking the Small Cluster Barrier of Graph Clustering
Nir Ailon, Yudong Chen and Huan Xu
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Nested Chinese Restaurant Franchise Process: Applications to User Tracking and Document Modeling
Amr Ahmed, Liangjie Hong and Alexander Smola
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Thompson Sampling for Contextual Bandits with Linear Payoffs
Shipra Agrawal and Navin Goyal
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Selective sampling algorithms for cost-sensitive multiclass prediction
Alekh Agarwal
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A unifying framework for vector-valued manifold regularization and multi-view learning
Minh H. Quang, Loris Bazzani and Vittorio Murino
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Precision-recall space to correct external indices for biclustering
Blaise Hanczar and Mohamed Nadif
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Transition Matrix Estimation in High Dimensional Time Series
Fang Han and Han Liu
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Distributed training of Large-scale Logistic models
Siddharth Gopal and Yiming Yang
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems
Pinghua Gong, Changshui Zhang, Zhaosong Lu, Jianhua Huang and Jieping Ye
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Large-Scale Learning with Less RAM via Randomization
Daniel Golovin, D. Sculley, Brendan Mcmahan and Michael Young
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Forecastable Component Analysis
Georg Goerg
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning Connections in Financial Time Series
Gartheeban Ganeshapillai, John Guttag and Andrew Lo
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization
Stefano Ermon, Carla Gomes, Ashish Sabharwal and Bart Selman
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically
Mrinal Das, Suparna Bhattacharya, Chiranjib Bhattacharyya and Gopinath Kanchi
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Canonical Correlation Analysis based on Hilbert-Schmidt Independence Criterion and Centered Kernel Target Alignment
Billy Chang, Uwe Kruger, Rafal Kustra and Junping Zhang
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Toward Optimal Stratification for Stratified Monte-Carlo Integration
Alexandra Carpentier and Rémi Munos
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


SADA: A General Framework to Support Robust Causation Discovery
Ruichu Cai, Zhenjie Zhang and Zhifeng Hao
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Collaborative hyperparameter tuning
Rémi Bardenet, Mátyás Brendel, Balázs Kégl and Mich\`ele Sebag
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A Practical Algorithm for Topic Modeling with Provable Guarantees
Sanjeev Arora, Rong Ge, Yonatan Halpern, David Mimno, Ankur Moitra, David Sontag, Yichen Wu and Michael Zhu
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Gated Autoencoders with Tied Input Weights
Droniou Alain and Sigaud Olivier
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Beyond Pairwise: Provably Fast Algorithms for Approximate k-Way Similarity Search
Anshumali Shrivastava and Ping Li
Advances in Neural Information Processing Systems 26, 2013


Reservoir Boosting : Between Online and Offline Ensemble Learning
Leonidas Lefakis and Françcois Fleuret
Advances in Neural Information Processing Systems 26, 2013


Direct 0-1 Loss Minimization and Margin Maximization with Boosting
Shaodan Zhai, Tian Xia, Ming Tan and Shaojun Wang
Advances in Neural Information Processing Systems 26, 2013


Parametric Task Learning
Ichiro Takeuchi, Tatsuya Hongo, Masashi Sugiyama and Shinichi Nakajima
Advances in Neural Information Processing Systems 26, 2013


Learning Feature Selection Dependencies in Multi-task Learning
Daniel Hernández-lobato and José M. Hernández-lobato
Advances in Neural Information Processing Systems 26, 2013


Heterogeneous-Neighborhood-based Multi-Task Local Learning Algorithms
Yu Zhang
Advances in Neural Information Processing Systems 26, 2013


Reshaping Visual Datasets for Domain Adaptation
Boqing Gong, Kristen Grauman and Fei Sha
Advances in Neural Information Processing Systems 26, 2013


Transfer Learning in a Transductive Setting
Marcus Rohrbach, Sandra Ebert and Bernt Schiele
Advances in Neural Information Processing Systems 26, 2013


Fast Template Evaluation with Vector Quantization
Mohammad A. Sadeghi and David Forsyth
Advances in Neural Information Processing Systems 26, 2013


Deep Neural Networks for Object Detection
Christian Szegedy, Alexander Toshev and Dumitru Erhan
Advances in Neural Information Processing Systems 26, 2013


Learning invariant representations and applications to face verification
Qianli Liao, Joel Z. Leibo and Tomaso Poggio
Advances in Neural Information Processing Systems 26, 2013


Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies
Yangqing Jia, Joshua T. Abbott, Joseph Austerweil, Thomas Griffiths and Trevor Darrell
Advances in Neural Information Processing Systems 26, 2013


DeViSE: A Deep Visual-Semantic Embedding Model
Andrea Frome, Greg S. Corrado, Jon Shlens, Samy Bengio, Jeff Dean, Marc'aurelio Ranzato and Tomas Mikolov
Advances in Neural Information Processing Systems 26, 2013


Optimal integration of visual speed across different spatiotemporal frequency channels
Matjaz Jogan and Alan Stocker
Advances in Neural Information Processing Systems 26, 2013


Mid-level Visual Element Discovery as Discriminative Mode Seeking
Carl Doersch, Abhinav Gupta and Alexei A. Efros
Advances in Neural Information Processing Systems 26, 2013


Modeling Clutter Perception using Parametric Proto-object Partitioning
Chen-ping Yu, Wen-yu Hua, Dimitris Samaras and Greg Zelinsky
Advances in Neural Information Processing Systems 26, 2013


Non-Linear Domain Adaptation with Boosting
Carlos J. Becker, Christos M. Christoudias and Pascal Fua
Advances in Neural Information Processing Systems 26, 2013


Decision Jungles: Compact and Rich Models for Classification
Jamie Shotton, Toby Sharp, Pushmeet Kohli, Sebastian Nowozin, John Winn and Antonio Criminisi
Advances in Neural Information Processing Systems 26, 2013


Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation
Vibhav Vineet, Carsten Rother and Philip Torr
Advances in Neural Information Processing Systems 26, 2013


Action is in the Eye of the Beholder: Eye-gaze Driven Model for Spatio-Temporal Action Localization
Nataliya Shapovalova, Michalis Raptis, Leonid Sigal and Greg Mori
Advances in Neural Information Processing Systems 26, 2013


Action from Still Image Dataset and Inverse Optimal Control to Learn Task Specific Visual Scanpaths
Stefan Mathe and Cristian Sminchisescu
Advances in Neural Information Processing Systems 26, 2013


What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach
Zhenwen Dai, Georgios Exarchakis and Jörg Lücke
Advances in Neural Information Processing Systems 26, 2013


Third-Order Edge Statistics: Contour Continuation, Curvature, and Cortical Connections
Matthew Lawlor and Steven W. Zucker
Advances in Neural Information Processing Systems 26, 2013


Learning the Local Statistics of Optical Flow
Dan Rosenbaum, Daniel Zoran and Yair Weiss
Advances in Neural Information Processing Systems 26, 2013


Learning a Deep Compact Image Representation for Visual Tracking
Naiyan Wang and Dit-yan Yeung
Advances in Neural Information Processing Systems 26, 2013


Reward Mapping for Transfer in Long-Lived Agents
Xiaoxiao Guo, Satinder Singh and Richard L. Lewis
Advances in Neural Information Processing Systems 26, 2013


Approximate Dynamic Programming Finally Performs Well in the Game of Tetris
Victor Gabillon, Mohammad Ghavamzadeh and Bruno Scherrer
Advances in Neural Information Processing Systems 26, 2013


DESPOT: Online POMDP Planning with Regularization
Adhiraj Somani, Nan Ye, David Hsu and Wee S. Lee
Advances in Neural Information Processing Systems 26, 2013


Optimistic policy iteration and natural actor-critic: A unifying view and a non-optimality result
Paul Wagner
Advances in Neural Information Processing Systems 26, 2013


Policy Shaping: Integrating Human Feedback with Reinforcement Learning
Shane Griffith, Kaushik Subramanian, Jonathan Scholz, Charles Isbell and Andrea L. Thomaz
Advances in Neural Information Processing Systems 26, 2013


Adaptive Step-Size for Policy Gradient Methods
Matteo Pirotta, Marcello Restelli and Luca Bascetta
Advances in Neural Information Processing Systems 26, 2013


(More) Efficient Reinforcement Learning via Posterior Sampling
Ian Osband, Dan Russo and Benjamin V. Roy
Advances in Neural Information Processing Systems 26, 2013


Projected Natural Actor-Critic
Philip S. Thomas, William C. Dabney, Stephen Giguere and Sridhar Mahadevan
Advances in Neural Information Processing Systems 26, 2013


Reinforcement Learning in Robust Markov Decision Processes
Shiau H. Lim, Huan Xu and Shie Mannor
Advances in Neural Information Processing Systems 26, 2013


Bellman Error Based Feature Generation using Random Projections on Sparse Spaces
Mahdi M. Fard, Yuri Grinberg, Amir M. Farahmand, Joelle Pineau and Doina Precup
Advances in Neural Information Processing Systems 26, 2013


Context-sensitive active sensing in humans
Sheeraz Ahmad, He Huang and Angela J. Yu
Advances in Neural Information Processing Systems 26, 2013


Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting
Shunan Zhang and Angela J. Yu
Advances in Neural Information Processing Systems 26, 2013


Learning Trajectory Preferences for Manipulators via Iterative Improvement
Ashesh Jain, Brian Wojcik, Thorsten Joachims and Ashutosh Saxena
Advances in Neural Information Processing Systems 26, 2013


Variational Policy Search via Trajectory Optimization
Sergey Levine and Vladlen Koltun
Advances in Neural Information Processing Systems 26, 2013


Probabilistic Movement Primitives
Alexandros Paraschos, Christian Daniel, Jan Peters and Gerhard Neumann
Advances in Neural Information Processing Systems 26, 2013


A multi-agent control framework for co-adaptation in brain-computer interfaces
Josh S. Merel, Roy Fox, Tony Jebara and Liam Paninski
Advances in Neural Information Processing Systems 26, 2013


On model selection consistency of penalized M-estimators: a geometric theory
Jason Lee, Yuekai Sun and Jonathan E. Taylor
Advances in Neural Information Processing Systems 26, 2013


A\ast Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables
Jing Xiang and Seyoung Kim
Advances in Neural Information Processing Systems 26, 2013


Sparse Inverse Covariance Estimation with Calibration
Tuo Zhao and Han Liu
Advances in Neural Information Processing Systems 26, 2013


Tracking Time-varying Graphical Structure
Erich Kummerfeld and David Danks
Advances in Neural Information Processing Systems 26, 2013


Factorized Asymptotic Bayesian Inference for Latent Feature Models
Kohei Hayashi and Ryohei Fujimaki
Advances in Neural Information Processing Systems 26, 2013


Estimating the Unseen: Improved Estimators for Entropy and other Properties
Paul Valiant and Gregory Valiant
Advances in Neural Information Processing Systems 26, 2013


Geometric optimisation on positive definite matrices for elliptically contoured distributions
Suvrit Sra and Reshad Hosseini
Advances in Neural Information Processing Systems 26, 2013


Mapping paradigm ontologies to and from the brain
Yannick Schwartz, Bertrand Thirion and Gael Varoquaux
Advances in Neural Information Processing Systems 26, 2013


Extracting regions of interest from biological images with convolutional sparse block coding
Marius Pachitariu, Adam M. Packer, Noah Pettit, Henry Dalgleish, Michael Hausser and Maneesh Sahani
Advances in Neural Information Processing Systems 26, 2013


Training and Analysing Deep Recurrent Neural Networks
Michiel Hermans and Benjamin Schrauwen
Advances in Neural Information Processing Systems 26, 2013


Learning word embeddings efficiently with noise-contrastive estimation
Andriy Mnih and Koray Kavukcuoglu
Advances in Neural Information Processing Systems 26, 2013


A Novel Two-Step Method for Cross Language Representation Learning
Min Xiao and Yuhong Guo
Advances in Neural Information Processing Systems 26, 2013


Lexical and Hierarchical Topic Regression
Viet-an Nguyen, Jordan Boyd-graber and Philip Resnik
Advances in Neural Information Processing Systems 26, 2013


Parallel Sampling of DP Mixture Models using Sub-Cluster Splits
Jason Chang and John Iii
Advances in Neural Information Processing Systems 26, 2013


Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent
Yuening Hu, Jordan Boyd-graber, Hal D. Iii and Z. I. Ying
Advances in Neural Information Processing Systems 26, 2013


First-order Decomposition Trees
Nima Taghipour, Jesse Davis and Hendrik Blockeel
Advances in Neural Information Processing Systems 26, 2013


Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation
Bogdan Savchynskyy, Jörg H. Kappes, Paul Swoboda and Christoph Schnörr
Advances in Neural Information Processing Systems 26, 2013


Learning Gaussian Graphical Models with Observed or Latent FVSs
Ying Liu and Alan Willsky
Advances in Neural Information Processing Systems 26, 2013


Analyzing the Harmonic Structure in Graph-Based Learning
Xiao-ming Wu, Zhenguo Li and Shih-fu Chang
Advances in Neural Information Processing Systems 26, 2013


Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic
James L. Sharpnack, Akshay Krishnamurthy and Aarti Singh
Advances in Neural Information Processing Systems 26, 2013


Scalable kernels for graphs with continuous attributes
Aasa Feragen, Niklas Kasenburg, Jens Petersen, Marleen D. Bruijne and Karsten Borgwardt
Advances in Neural Information Processing Systems 26, 2013


Conditional Random Fields via Univariate Exponential Families
Eunho Yang, Pradeep Ravikumar, Genevera I. Allen and Zhandong Liu
Advances in Neural Information Processing Systems 26, 2013


On Poisson Graphical Models
Eunho Yang, Pradeep Ravikumar, Genevera I. Allen and Zhandong Liu
Advances in Neural Information Processing Systems 26, 2013


High-Dimensional Gaussian Process Bandits
Josip Djolonga, Andreas Krause and Volkan Cevher
Advances in Neural Information Processing Systems 26, 2013


Online Learning with Switching Costs and Other Adaptive Adversaries
Nicolò Cesa-bianchi, Ofer Dekel and Ohad Shamir
Advances in Neural Information Processing Systems 26, 2013


The Pareto Regret Frontier
Wouter M. Koolen
Advances in Neural Information Processing Systems 26, 2013


Online Learning with Costly Features and Labels
Navid Zolghadr, Gabor Bartok, Russell Greiner, András György and Csaba Szepesvari
Advances in Neural Information Processing Systems 26, 2013


Minimax Optimal Algorithms for Unconstrained Linear Optimization
Brendan Mcmahan and Jacob Abernethy
Advances in Neural Information Processing Systems 26, 2013


Optimization, Learning, and Games with Predictable Sequences
Sasha Rakhlin and Karthik Sridharan
Advances in Neural Information Processing Systems 26, 2013


Estimation Bias in Multi-Armed Bandit Algorithms for Search Advertising
Min Xu, Tao Qin and Tie-yan Liu
Advances in Neural Information Processing Systems 26, 2013


Convergence of Monte Carlo Tree Search in Simultaneous Move Games
Viliam Lisy, Vojta Kovarik, Marc Lanctot and Branislav Bosansky
Advances in Neural Information Processing Systems 26, 2013


Point Based Value Iteration with Optimal Belief Compression for Dec-POMDPs
Liam C. Macdermed and Charles Isbell
Advances in Neural Information Processing Systems 26, 2013


Symbolic Opportunistic Policy Iteration for Factored-Action MDPs
Aswin Raghavan, Roni Khardon, Alan Fern and Prasad Tadepalli
Advances in Neural Information Processing Systems 26, 2013


Learning Adaptive Value of Information for Structured Prediction
David J. Weiss and Ben Taskar
Advances in Neural Information Processing Systems 26, 2013


On Algorithms for Sparse Multi-factor NMF
Siwei Lyu and Xin Wang
Advances in Neural Information Processing Systems 26, 2013


Documents as multiple overlapping windows into grids of counts
Alessandro Perina, Nebojsa Jojic, Manuele Bicego and Andrzej Truski
Advances in Neural Information Processing Systems 26, 2013


Sparse Additive Text Models with Low Rank Background
Lei Shi
Advances in Neural Information Processing Systems 26, 2013


The Randomized Dependence Coefficient
David Lopez-paz, Philipp Hennig and Bernhard Schölkopf
Advances in Neural Information Processing Systems 26, 2013


One-shot learning and big data with n=2
Lee H. Dicker and Dean P. Foster
Advances in Neural Information Processing Systems 26, 2013


Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA
Vincent Q. Vu, Juhee Cho, Jing Lei and Karl Rohe
Advances in Neural Information Processing Systems 26, 2013


Online PCA for Contaminated Data
Jiashi Feng, Huan Xu, Shie Mannor and Shuicheng Yan
Advances in Neural Information Processing Systems 26, 2013


Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis
James R. Voss, Luis Rademacher and Mikhail Belkin
Advances in Neural Information Processing Systems 26, 2013


Probabilistic Principal Geodesic Analysis
Miaomiao Zhang and P.t. Fletcher
Advances in Neural Information Processing Systems 26, 2013


The Fast Convergence of Incremental PCA
Akshay Balsubramani, Sanjoy Dasgupta and Yoav Freund
Advances in Neural Information Processing Systems 26, 2013


Online Robust PCA via Stochastic Optimization
Jiashi Feng, Huan Xu and Shuicheng Yan
Advances in Neural Information Processing Systems 26, 2013


Robust Transfer Principal Component Analysis with Rank Constraints
Yuhong Guo
Advances in Neural Information Processing Systems 26, 2013


Stochastic Majorization-Minimization Algorithms for Large-Scale Optimization
Julien Mairal
Advances in Neural Information Processing Systems 26, 2013


One-shot learning by inverting a compositional causal process
Brenden M. Lake, Ruslan Salakhutdinov and Josh Tenenbaum
Advances in Neural Information Processing Systems 26, 2013


Rapid Distance-Based Outlier Detection via Sampling
Mahito Sugiyama and Karsten Borgwardt
Advances in Neural Information Processing Systems 26, 2013


Unsupervised Structure Learning of Stochastic And-Or Grammars
Kewei Tu, Maria Pavlovskaia and Song-chun Zhu
Advances in Neural Information Processing Systems 26, 2013


q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions
Assaf Glazer, Michael Lindenbaum and Shaul Markovitch
Advances in Neural Information Processing Systems 26, 2013


Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking
Ryan D. Turner, Steven Bottone and Clay J. Stanek
Advances in Neural Information Processing Systems 26, 2013


Robust Data-Driven Dynamic Programming
Grani A. Hanasusanto and Daniel Kuhn
Advances in Neural Information Processing Systems 26, 2013


Solving inverse problem of Markov chain with partial observations
Tetsuro Morimura, Takayuki Osogami and Tsuyoshi Ide
Advances in Neural Information Processing Systems 26, 2013


Which Space Partitioning Tree to Use for Search?
Parikshit Ram and Alexander Gray
Advances in Neural Information Processing Systems 26, 2013


Synthesizing Robust Plans under Incomplete Domain Models
Tuan A. Nguyen, Subbarao Kambhampati and Minh Do
Advances in Neural Information Processing Systems 26, 2013


Error-Minimizing Estimates and Universal Entry-Wise Error Bounds for Low-Rank Matrix Completion
Franz Kiraly and Louis Theran
Advances in Neural Information Processing Systems 26, 2013


What do row and column marginals reveal about your dataset?
Behzad Golshan, John Byers and Evimaria Terzi
Advances in Neural Information Processing Systems 26, 2013


Multilinear Dynamical Systems for Tensor Time Series
Mark Rogers, Lei Li and Stuart Russell
Advances in Neural Information Processing Systems 26, 2013


A Latent Source Model for Nonparametric Time Series Classification
George H. Chen, Stanislav Nikolov and Devavrat Shah
Advances in Neural Information Processing Systems 26, 2013


Locally Adaptive Bayesian Multivariate Time Series
Daniele Durante, Bruno Scarpa and David Dunson
Advances in Neural Information Processing Systems 26, 2013


Trading Computation for Communication: Distributed Stochastic Dual Coordinate Ascent
Tianbao Yang
Advances in Neural Information Processing Systems 26, 2013


Sketching Structured Matrices for Faster Nonlinear Regression
Haim Avron, Vikas Sindhwani and David Woodruff
Advances in Neural Information Processing Systems 26, 2013


Density estimation from unweighted k-nearest neighbor graphs: a roadmap
Ulrike V. Luxburg and Morteza Alamgir
Advances in Neural Information Processing Systems 26, 2013


Bayesian Mixture Modelling and Inference based Thompson Sampling in Monte-Carlo Tree Search
Aijun Bai, Feng Wu and Xiaoping Chen
Advances in Neural Information Processing Systems 26, 2013


Thompson Sampling for 1-Dimensional Exponential Family Bandits
Nathaniel Korda, Emilie Kaufmann and Remi Munos
Advances in Neural Information Processing Systems 26, 2013


Two-Target Algorithms for Infinite-Armed Bandits with Bernoulli Rewards
Thomas Bonald and Alexandre Proutiere
Advances in Neural Information Processing Systems 26, 2013


Prior-free and prior-dependent regret bounds for Thompson Sampling
Sebastien Bubeck and Che-yu Liu
Advances in Neural Information Processing Systems 26, 2013


Sequential Transfer in Multi-armed Bandit with Finite Set of Models
Mohammad G. Azar, Alessandro Lazaric and Emma Brunskill
Advances in Neural Information Processing Systems 26, 2013


Faster Ridge Regression via the Subsampled Randomized Hadamard Transform
Yichao Lu, Paramveer Dhillon, Dean P. Foster and Lyle Ungar
Advances in Neural Information Processing Systems 26, 2013


New Subsampling Algorithms for Fast Least Squares Regression
Paramveer Dhillon, Yichao Lu, Dean P. Foster and Lyle Ungar
Advances in Neural Information Processing Systems 26, 2013


A Comparative Framework for Preconditioned Lasso Algorithms
Fabian L. Wauthier, Nebojsa Jojic and Michael Jordan
Advances in Neural Information Processing Systems 26, 2013


Adaptivity to Local Smoothness and Dimension in Kernel Regression
Samory Kpotufe and Vikas Garg
Advances in Neural Information Processing Systems 26, 2013


Predictive PAC Learning and Process Decompositions
Cosma Shalizi and Aryeh Kontorovitch
Advances in Neural Information Processing Systems 26, 2013


Statistical Active Learning Algorithms
Maria-florina Balcan and Vitaly Feldman
Advances in Neural Information Processing Systems 26, 2013


Moment-based Uniform Deviation Bounds for k-means and Friends
Matus Telgarsky and Sanjoy Dasgupta
Advances in Neural Information Processing Systems 26, 2013


Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel
Tai Qin and Karl Rohe
Advances in Neural Information Processing Systems 26, 2013


Learning Multiple Models via Regularized Weighting
Daniel Vainsencher, Shie Mannor and Huan Xu
Advances in Neural Information Processing Systems 26, 2013


Multiclass Total Variation Clustering
Xavier Bresson, Thomas Laurent, David Uminsky and James V. Brecht
Advances in Neural Information Processing Systems 26, 2013


Distributed k-means and k-median clustering on general topologies
Maria-florina Balcan, Steven Ehrlich and Yingyu Liang
Advances in Neural Information Processing Systems 26, 2013


k-Prototype Learning for 3D Rigid Structures
Hu Ding, Ronald Berezney and Jinhui Xu
Advances in Neural Information Processing Systems 26, 2013


Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture
Trevor Campbell, Miao Liu, Brian Kulis, Jonathan P. How and Lawrence Carin
Advances in Neural Information Processing Systems 26, 2013


Summary Statistics for Partitionings and Feature Allocations
Isik B. Fidaner and Taylan Cemgil
Advances in Neural Information Processing Systems 26, 2013


Dirty Statistical Models
Eunho Yang and Pradeep Ravikumar
Advances in Neural Information Processing Systems 26, 2013


Designed Measurements for Vector Count Data
Liming Wang, David Carlson, Miguel Rodrigues, David Wilcox, Robert Calderbank and Lawrence Carin
Advances in Neural Information Processing Systems 26, 2013


Spike train entropy-rate estimation using hierarchical Dirichlet process priors
Karin C. Knudson and Jonathan W. Pillow
Advances in Neural Information Processing Systems 26, 2013


It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals
Barbara Rakitsch, Christoph Lippert, Karsten Borgwardt and Oliver Stegle
Advances in Neural Information Processing Systems 26, 2013


Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression
Michalis Titsias and Miguel Lazaro-gredilla
Advances in Neural Information Processing Systems 26, 2013


Efficient Optimization for Sparse Gaussian Process Regression
Yanshuai Cao, Marcus A. Brubaker, David Fleet and Aaron Hertzmann
Advances in Neural Information Processing Systems 26, 2013


Multi-Task Bayesian Optimization
Kevin Swersky, Jasper Snoek and Ryan P. Adams
Advances in Neural Information Processing Systems 26, 2013


Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC
Roger Frigola, Fredrik Lindsten, Thomas B. Schon and Carl Rasmussen
Advances in Neural Information Processing Systems 26, 2013


Gaussian Process Conditional Copulas with Applications to Financial Time Series
José M. Hernández-lobato, James R. Lloyd and Daniel Hernández-lobato
Advances in Neural Information Processing Systems 26, 2013


Robust Bloom Filters for Large MultiLabel Classification Tasks
Moustapha M. Cisse, Nicolas Usunier, Thierry Arti\`eres and Patrick Gallinari
Advances in Neural Information Processing Systems 26, 2013


On Flat versus Hierarchical Classification in Large-Scale Taxonomies
Rohit Babbar, Ioannis Partalas, Eric Gaussier and Massih-reza Amini
Advances in Neural Information Processing Systems 26, 2013


B-test: A Non-parametric, Low Variance Kernel Two-sample Test
Wojciech Zaremba, Arthur Gretton and Matthew Blaschko
Advances in Neural Information Processing Systems 26, 2013


Robust Low Rank Kernel Embeddings of Multivariate Distributions
Le Song and Bo Dai
Advances in Neural Information Processing Systems 26, 2013


Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators
Michel Besserve, Nikos K. Logothetis and Bernhard Schölkopf
Advances in Neural Information Processing Systems 26, 2013


Latent Maximum Margin Clustering
Guang-tong Zhou, Tian Lan, Arash Vahdat and Greg Mori
Advances in Neural Information Processing Systems 26, 2013


A New Convex Relaxation for Tensor Completion
Bernardino Romera-paredes and Massimiliano Pontil
Advances in Neural Information Processing Systems 26, 2013


Learning Multi-level Sparse Representations
Ferran D. Andilla and Fred A. Hamprecht
Advances in Neural Information Processing Systems 26, 2013


Sign Cauchy Projections and Chi-Square Kernel
Ping Li, Gennady Samorodnitsk and John Hopcroft
Advances in Neural Information Processing Systems 26, 2013


Low-rank matrix reconstruction and clustering via approximate message passing
Ryosuke Matsushita and Toshiyuki Tanaka
Advances in Neural Information Processing Systems 26, 2013


Learning with Noisy Labels
Nagarajan Natarajan, Inderjit Dhillon, Pradeep Ravikumar and Ambuj Tewari
Advances in Neural Information Processing Systems 26, 2013


Efficient Online Inference for Bayesian Nonparametric Relational Models
Dae I. Kim, Prem Gopalan, David Blei and Erik Sudderth
Advances in Neural Information Processing Systems 26, 2013


Translating Embeddings for Modeling Multi-relational Data
Antoine Bordes, Nicolas Usunier, Alberto Garcia-duran, Jason Weston and Oksana Yakhnenko
Advances in Neural Information Processing Systems 26, 2013


Learning to Pass Expectation Propagation Messages
Nicolas Heess, Daniel Tarlow and John Winn
Advances in Neural Information Processing Systems 26, 2013


Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering
Shinichi Nakajima, Akiko Takeda, S. D. Babacan, Masashi Sugiyama and Ichiro Takeuchi
Advances in Neural Information Processing Systems 26, 2013


Integrated Non-Factorized Variational Inference
Shaobo Han, Xuejun Liao and Lawrence Carin
Advances in Neural Information Processing Systems 26, 2013


Variational Planning for Graph-based MDPs
Qiang Cheng, Qiang Liu, Feng Chen and Alex Ihler
Advances in Neural Information Processing Systems 26, 2013


Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions
Tamir Hazan, Subhransu Maji, Joseph Keshet and Tommi Jaakkola
Advances in Neural Information Processing Systems 26, 2013


Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition
Tzu-kuo Huang and Jeff Schneider
Advances in Neural Information Processing Systems 26, 2013


Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests
Yacine Jernite, Yonatan Halpern and David Sontag
Advances in Neural Information Processing Systems 26, 2013


Causal Inference on Time Series using Restricted Structural Equation Models
Jonas Peters, Dominik Janzing and Bernhard Schölkopf
Advances in Neural Information Processing Systems 26, 2013


Transportability from Multiple Environments with Limited Experiments
Elias Bareinboim, Sanghack Lee, Vasant Honavar and Judea Pearl
Advances in Neural Information Processing Systems 26, 2013


Real-Time Inference for a Gamma Process Model of Neural Spiking
David Carlson, Vinayak Rao, Joshua T. Vogelstein and Lawrence Carin
Advances in Neural Information Processing Systems 26, 2013


RNADE: The real-valued neural autoregressive density-estimator
Benigno Uria, Iain Murray and Hugo Larochelle
Advances in Neural Information Processing Systems 26, 2013


Compete to Compute
Rupesh K. Srivastava, Jonathan Masci, Sohrob Kazerounian, Faustino Gomez and Jürgen Schmidhuber
Advances in Neural Information Processing Systems 26, 2013


Capacity of strong attractor patterns to model behavioural and cognitive prototypes
Abbas Edalat
Advances in Neural Information Processing Systems 26, 2013


Recurrent networks of coupled Winner-Take-All oscillators for solving constraint satisfaction problems
Hesham Mostafa, Lorenz. K. Mueller and Giacomo Indiveri
Advances in Neural Information Processing Systems 26, 2013


Multisensory Encoding, Decoding, and Identification
Aurel A. Lazar and Yevgeniy Slutskiy
Advances in Neural Information Processing Systems 26, 2013


Reciprocally Coupled Local Estimators Implement Bayesian Information Integration Distributively
Wenhao Zhang and Si Wu
Advances in Neural Information Processing Systems 26, 2013


Perfect Associative Learning with Spike-Timing-Dependent Plasticity
Christian Albers, Maren Westkott and Klaus Pawelzik
Advances in Neural Information Processing Systems 26, 2013


Firing rate predictions in optimal balanced networks
David G. Barrett, Sophie Den\`eve and Christian K. Machens
Advances in Neural Information Processing Systems 26, 2013


Neural representation of action sequences: how far can a simple snippet-matching model take us?
Cheston Tan, Jedediah M. Singer, Thomas Serre, David Sheinberg and Tomaso Poggio
Advances in Neural Information Processing Systems 26, 2013


A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data
Jasper Snoek, Richard Zemel and Ryan P. Adams
Advances in Neural Information Processing Systems 26, 2013


Universal models for binary spike patterns using centered Dirichlet processes
Il M. Park, Evan W. Archer, Kenneth Latimer and Jonathan W. Pillow
Advances in Neural Information Processing Systems 26, 2013


Nonparametric Multi-group Membership Model for Dynamic Networks
Myunghwan Kim and Jure Leskovec
Advances in Neural Information Processing Systems 26, 2013


Bayesian Hierarchical Community Discovery
Charles Blundell and Yee W. Teh
Advances in Neural Information Processing Systems 26, 2013


Stochastic blockmodel approximation of a graphon: Theory and consistent estimation
Edoardo M. Airoldi, Thiago B. Costa and Stanley H. Chan
Advances in Neural Information Processing Systems 26, 2013


Wavelets on Graphs via Deep Learning
Raif Rustamov and Leonidas Guibas
Advances in Neural Information Processing Systems 26, 2013


Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions
Ari Pakman and Liam Paninski
Advances in Neural Information Processing Systems 26, 2013


Flexible sampling of discrete data correlations without the marginal distributions
Alfredo Kalaitzis and Ricardo Silva
Advances in Neural Information Processing Systems 26, 2013


Analyzing Hogwild Parallel Gaussian Gibbs Sampling
Matthew Johnson, James Saunderson and Alan Willsky
Advances in Neural Information Processing Systems 26, 2013


Machine Teaching for Bayesian Learners in the Exponential Family
Xiaojin Zhu
Advances in Neural Information Processing Systems 26, 2013


Phase Retrieval using Alternating Minimization
Praneeth Netrapalli, Prateek Jain and Sujay Sanghavi
Advances in Neural Information Processing Systems 26, 2013


Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors
Xiaoqin Zhang, Di Wang, Zhengyuan Zhou and Yi Ma
Advances in Neural Information Processing Systems 26, 2013


Distributed Submodular Maximization: Identifying Representative Elements in Massive Data
Baharan Mirzasoleiman, Amin Karbasi, Rik Sarkar and Andreas Krause
Advances in Neural Information Processing Systems 26, 2013


Optimistic Concurrency Control for Distributed Unsupervised Learning
Xinghao Pan, Joseph E. Gonzalez, Stefanie Jegelka, Tamara Broderick and Michael Jordan
Advances in Neural Information Processing Systems 26, 2013


Large Scale Distributed Sparse Precision Estimation
Huahua Wang, Arindam Banerjee, Cho-jui Hsieh, Pradeep Ravikumar and Inderjit Dhillon
Advances in Neural Information Processing Systems 26, 2013


Near-Optimal Entrywise Sampling for Data Matrices
Dimitris Achlioptas, Zohar S. Karnin and Edo Liberty
Advances in Neural Information Processing Systems 26, 2013


Memory Limited, Streaming PCA
Ioannis Mitliagkas, Constantine Caramanis and Prateek Jain
Advances in Neural Information Processing Systems 26, 2013


Variance Reduction for Stochastic Gradient Optimization
Chong Wang, Xi Chen, Alex Smola and Eric Xing
Advances in Neural Information Processing Systems 26, 2013


Stochastic Optimization of PCA with Capped MSG
Raman Arora, Andy Cotter and Nati Srebro
Advances in Neural Information Processing Systems 26, 2013


Adaptive dropout for training deep neural networks
Jimmy Ba and Brendan Frey
Advances in Neural Information Processing Systems 26, 2013


Top-Down Regularization of Deep Belief Networks
Hanlin Goh, Nicolas Thome, Matthieu Cord and Joo-hwee Lim
Advances in Neural Information Processing Systems 26, 2013


Robust Image Denoising with Multi-Column Deep Neural Networks
Forest Agostinelli, Michael R. Anderson and Honglak Lee
Advances in Neural Information Processing Systems 26, 2013


Discriminative Transfer Learning with Tree-based Priors
Nitish Srivastava and Ruslan Salakhutdinov
Advances in Neural Information Processing Systems 26, 2013


Reasoning With Neural Tensor Networks for Knowledge Base Completion
Richard Socher, Danqi Chen, Christopher D. Manning and Andrew Ng
Advances in Neural Information Processing Systems 26, 2013


Zero-Shot Learning Through Cross-Modal Transfer
Richard Socher, Milind Ganjoo, Christopher D. Manning and Andrew Ng
Advances in Neural Information Processing Systems 26, 2013


Learning Stochastic Feedforward Neural Networks
Yichuan Tang and Ruslan Salakhutdinov
Advances in Neural Information Processing Systems 26, 2013


Predicting Parameters in Deep Learning
Misha Denil, Babak Shakibi, Laurent Dinh, Marc'aurelio Ranzato and Nando D. Freitas
Advances in Neural Information Processing Systems 26, 2013


Multi-Prediction Deep Boltzmann Machines
Ian Goodfellow, Mehdi Mirza, Aaron Courville and Yoshua Bengio
Advances in Neural Information Processing Systems 26, 2013


Generalized Denoising Auto-Encoders as Generative Models
Yoshua Bengio, Li Yao, Guillaume Alain and Pascal Vincent
Advances in Neural Information Processing Systems 26, 2013


Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs
Yann Dauphin and Yoshua Bengio
Advances in Neural Information Processing Systems 26, 2013


Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S. Corrado and Jeff Dean
Advances in Neural Information Processing Systems 26, 2013


On the Representational Efficiency of Restricted Boltzmann Machines
James Martens, Arkadev Chattopadhya, Toniann Pitassi and Richard Zemel
Advances in Neural Information Processing Systems 26, 2013


A Deep Architecture for Matching Short Texts
Zhengdong Lu and Hang Li
Advances in Neural Information Processing Systems 26, 2013


Learning to Prune in Metric and Non-Metric Spaces
Leonid Boytsov and Bilegsaikhan Naidan
Advances in Neural Information Processing Systems 26, 2013


The Power of Asymmetry in Binary Hashing
Behnam Neyshabur, Nati Srebro, Ruslan Salakhutdinov, Yury Makarychev and Payman Yadollahpour
Advances in Neural Information Processing Systems 26, 2013


A message-passing algorithm for multi-agent trajectory planning
Jose Bento, Nate Derbinsky, Javier Alonso-mora and Jonathan S. Yedidia
Advances in Neural Information Processing Systems 26, 2013


Similarity Component Analysis
Soravit Changpinyo, Kuan Liu and Fei Sha
Advances in Neural Information Processing Systems 26, 2013


A Stability-based Validation Procedure for Differentially Private Machine Learning
Kamalika Chaudhuri and Staal A. Vinterbo
Advances in Neural Information Processing Systems 26, 2013


Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation
John Duchi, Martin J. Wainwright and Michael Jordan
Advances in Neural Information Processing Systems 26, 2013


(Nearly) Optimal Algorithms for Private Online Learning in Full-information and Bandit Settings
Abhradeep G. Thakurta and Adam Smith
Advances in Neural Information Processing Systems 26, 2013


Efficient Algorithm for Privately Releasing Smooth Queries
Ziteng Wang, Kai Fan, Jiaqi Zhang and Liwei Wang
Advances in Neural Information Processing Systems 26, 2013


Learning Prices for Repeated Auctions with Strategic Buyers
Kareem Amin, Afshin Rostamizadeh and Umar Syed
Advances in Neural Information Processing Systems 26, 2013


Computing the Stationary Distribution Locally
Christina E. Lee, Asuman Ozdaglar and Devavrat Shah
Advances in Neural Information Processing Systems 26, 2013


Fast Determinantal Point Process Sampling with Application to Clustering
Byungkon Kang
Advances in Neural Information Processing Systems 26, 2013


Contrastive Learning Using Spectral Methods
James Y. Zou, Daniel Hsu, David C. Parkes and Ryan P. Adams
Advances in Neural Information Processing Systems 26, 2013


A Gang of Bandits
Nicolò Cesa-bianchi, Claudio Gentile and Giovanni Zappella
Advances in Neural Information Processing Systems 26, 2013


Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms
Adrien Todeschini, Françcois Caron and Marie Chavent
Advances in Neural Information Processing Systems 26, 2013


Deep content-based music recommendation
Aaron Oord, Sander Dieleman and Benjamin Schrauwen
Advances in Neural Information Processing Systems 26, 2013


When in Doubt, SWAP: High-Dimensional Sparse Recovery from Correlated Measurements
Divyanshu Vats and Richard Baraniuk
Advances in Neural Information Processing Systems 26, 2013


Supervised Sparse Analysis and Synthesis Operators
Pablo Sprechmann, Roee Litman, Tal B. Yakar, Alexander M. Bronstein and Guillermo Sapiro
Advances in Neural Information Processing Systems 26, 2013


Manifold-based Similarity Adaptation for Label Propagation
Masayuki Karasuyama and Hiroshi Mamitsuka
Advances in Neural Information Processing Systems 26, 2013


Correlated random features for fast semi-supervised learning
Brian Mcwilliams, David Balduzzi and Joachim Buhmann
Advances in Neural Information Processing Systems 26, 2013


Speedup Matrix Completion with Side Information: Application to Multi-Label Learning
Miao Xu, Rong Jin and Zhi-hua Zhou
Advances in Neural Information Processing Systems 26, 2013


Generalized Random Utility Models with Multiple Types
Hossein A. Soufiani, Hansheng Diao, Zhenyu Lai and David C. Parkes
Advances in Neural Information Processing Systems 26, 2013


Generalized Method-of-Moments for Rank Aggregation
Hossein A. Soufiani, William Chen, David C. Parkes and Lirong Xia
Advances in Neural Information Processing Systems 26, 2013


Sparse nonnegative deconvolution for compressive calcium imaging: algorithms and phase transitions
Eftychios A. Pnevmatikakis and Liam Paninski
Advances in Neural Information Processing Systems 26, 2013


Robust learning of low-dimensional dynamics from large neural ensembles
David Pfau, Eftychios A. Pnevmatikakis and Liam Paninski
Advances in Neural Information Processing Systems 26, 2013


Optimal Neural Population Codes for High-dimensional Stimulus Variables
Zhuo Wang, Alan Stocker and Daniel Lee
Advances in Neural Information Processing Systems 26, 2013


Spectral methods for neural characterization using generalized quadratic models
Il M. Park, Evan W. Archer, Nicholas Priebe and Jonathan W. Pillow
Advances in Neural Information Processing Systems 26, 2013


Bayesian inference for low rank spatiotemporal neural receptive fields
Mijung Park and Jonathan W. Pillow
Advances in Neural Information Processing Systems 26, 2013


Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream
Daniel L. Yamins, Ha Hong, Charles Cadieu and James J. Dicarlo
Advances in Neural Information Processing Systems 26, 2013


An Approximate, Efficient LP Solver for LP Rounding
Srikrishna Sridhar, Stephen Wright, Christopher Re, Ji Liu, Victor Bittorf and Ce Zhang
Advances in Neural Information Processing Systems 26, 2013


Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions
Rishabh K. Iyer, Stefanie Jegelka and Jeff A. Bilmes
Advances in Neural Information Processing Systems 26, 2013


Reflection methods for user-friendly submodular optimization
Stefanie Jegelka, Francis Bach and Suvrit Sra
Advances in Neural Information Processing Systems 26, 2013


Solving the multi-way matching problem by permutation synchronization
Deepti Pachauri, Risi Kondor and Vikas Singh
Advances in Neural Information Processing Systems 26, 2013


Convex Relaxations for Permutation Problems
Fajwel Fogel, Rodolphe Jenatton, Francis Bach and Alexandre D. Aspremont
Advances in Neural Information Processing Systems 26, 2013


Convex Tensor Decomposition via Structured Schatten Norm Regularization
Ryota Tomioka and Taiji Suzuki
Advances in Neural Information Processing Systems 26, 2013


Cluster Trees on Manifolds
Sivaraman Balakrishnan, Srivatsan Narayanan, Alessandro Rinaldo, Aarti Singh and Larry Wasserman
Advances in Neural Information Processing Systems 26, 2013


Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation
Martin Azizyan, Aarti Singh and Larry Wasserman
Advances in Neural Information Processing Systems 26, 2013


When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity
Anima Anandkumar, Daniel Hsu, Majid Janzamin and Sham M. Kakade
Advances in Neural Information Processing Systems 26, 2013


Scalable Inference for Logistic-Normal Topic Models
Jianfei Chen, June Zhu, Zi Wang, Xun Zheng and Bo Zhang
Advances in Neural Information Processing Systems 26, 2013


Streaming Variational Bayes
Tamara Broderick, Nicholas Boyd, Andre Wibisono, Ashia C. Wilson and Michael Jordan
Advances in Neural Information Processing Systems 26, 2013


Relevance Topic Model for Unstructured Social Group Activity Recognition
Fang Zhao, Yongzhen Huang, Liang Wang and Tieniu Tan
Advances in Neural Information Processing Systems 26, 2013


A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks
Junming Yin, Qirong Ho and Eric Xing
Advances in Neural Information Processing Systems 26, 2013


Modeling Overlapping Communities with Node Popularities
Prem Gopalan, Chong Wang and David Blei
Advances in Neural Information Processing Systems 26, 2013


Online Learning of Dynamic Parameters in Social Networks
Shahin Shahrampour, Sasha Rakhlin and Ali Jadbabaie
Advances in Neural Information Processing Systems 26, 2013


Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions
Yasin Abbasi-yadkori, Peter Bartlett, Varun Kanade, Yevgeny Seldin and Csaba Szepesvari
Advances in Neural Information Processing Systems 26, 2013


Online learning in episodic Markovian decision processes by relative entropy policy search
Alexander Zimin and Gergely Neu
Advances in Neural Information Processing Systems 26, 2013


Aggregating Optimistic Planning Trees for Solving Markov Decision Processes
Gunnar Kedenburg, Raphael Fonteneau and Remi Munos
Advances in Neural Information Processing Systems 26, 2013


Efficient Exploration and Value Function Generalization in Deterministic Systems
Zheng Wen and Benjamin V. Roy
Advances in Neural Information Processing Systems 26, 2013


Improved and Generalized Upper Bounds on the Complexity of Policy Iteration
Bruno Scherrer
Advances in Neural Information Processing Systems 26, 2013


Regret based Robust Solutions for Uncertain Markov Decision Processes
Asrar Ahmed, Pradeep Varakantham, Yossiri Adulyasak and Patrick Jaillet
Advances in Neural Information Processing Systems 26, 2013


Memoized Online Variational Inference for Dirichlet Process Mixture Models
Michael Hughes and Erik Sudderth
Advances in Neural Information Processing Systems 26, 2013


Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation
Dahua Lin
Advances in Neural Information Processing Systems 26, 2013


Approximate Gaussian process inference for the drift function in stochastic differential equations
Andreas Ruttor, Philipp Batz and Manfred Opper
Advances in Neural Information Processing Systems 26, 2013


Learning Stochastic Inverses
Andreas Stuhlmüller, Jacob Taylor and Noah Goodman
Advances in Neural Information Processing Systems 26, 2013


Embed and Project: Discrete Sampling with Universal Hashing
Stefano Ermon, Carla P. Gomes, Ashish Sabharwal and Bart Selman
Advances in Neural Information Processing Systems 26, 2013


Projecting Ising Model Parameters for Fast Mixing
Justin Domke and Xianghang Liu
Advances in Neural Information Processing Systems 26, 2013


EDML for Learning Parameters in Directed and Undirected Graphical Models
Khaled Refaat, Arthur Choi and Adnan Darwiche
Advances in Neural Information Processing Systems 26, 2013


On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations
Tamir Hazan, Subhransu Maji and Tommi Jaakkola
Advances in Neural Information Processing Systems 26, 2013


Bayesian Estimation of Latently-grouped Parameters in Undirected Graphical Models
Jie Liu and David Page
Advances in Neural Information Processing Systems 26, 2013


Learning Chordal Markov Networks by Constraint Satisfaction
Jukka Corander, Tomi Janhunen, Jussi Rintanen, Henrik Nyman and Johan Pensar
Advances in Neural Information Processing Systems 26, 2013


Marginals-to-Models Reducibility
Tim Roughgarden and Michael Kearns
Advances in Neural Information Processing Systems 26, 2013


Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion
Nguyen V. Cuong, Wee S. Lee, Nan Ye, Kian Chai and Hai L. Chieu
Advances in Neural Information Processing Systems 26, 2013


Buy-in-Bulk Active Learning
Liu Yang and Jaime Carbonell
Advances in Neural Information Processing Systems 26, 2013


Auditing: Active Learning with Outcome-Dependent Query Costs
Sivan Sabato, Anand D. Sarwate and Nati Srebro
Advances in Neural Information Processing Systems 26, 2013


Adaptive Submodular Maximization in Bandit Setting
Victor Gabillon, Branislav Kveton, Zheng Wen, Brian Eriksson and S. Muthukrishnan
Advances in Neural Information Processing Systems 26, 2013


Low-Rank Matrix and Tensor Completion via Adaptive Sampling
Akshay Krishnamurthy and Aarti Singh
Advances in Neural Information Processing Systems 26, 2013


Latent Structured Active Learning
Wenjie Luo, Alex Schwing and Raquel Urtasun
Advances in Neural Information Processing Systems 26, 2013


Bayesian optimization explains human active search
Ali Borji and Laurent Itti
Advances in Neural Information Processing Systems 26, 2013


\Sigma -Optimality for Active Learning on Gaussian Random Fields
Yifei Ma, Roman Garnett and Jeff Schneider
Advances in Neural Information Processing Systems 26, 2013


Sensor Selection in High-Dimensional Gaussian Trees with Nuisances
Daniel S. Levine and Jonathan P. How
Advances in Neural Information Processing Systems 26, 2013


A Graphical Transformation for Belief Propagation: Maximum Weight Matchings and Odd-Sized Cycles
Jinwoo Shin, Andrew E. Gelfand and Misha Chertkov
Advances in Neural Information Processing Systems 26, 2013


Estimating LASSO Risk and Noise Level
Mohsen Bayati, Murat A. Erdogdu and Andrea Montanari
Advances in Neural Information Processing Systems 26, 2013


Blind Calibration in Compressed Sensing using Message Passing Algorithms
Christophe Schulke, Francesco Caltagirone, Florent Krzakala and Lenka Zdeborova
Advances in Neural Information Processing Systems 26, 2013


Least Informative Dimensions
Fabian Sinz, Anna Stockl, January Grewe and January Benda
Advances in Neural Information Processing Systems 26, 2013


On the Sample Complexity of Subspace Learning
Alessandro Rudi, Guillermo D. Canas and Lorenzo Rosasco
Advances in Neural Information Processing Systems 26, 2013


Multiscale Dictionary Learning for Estimating Conditional Distributions
Francesca Petralia, Joshua T. Vogelstein and David Dunson
Advances in Neural Information Processing Systems 26, 2013


Data-driven Distributionally Robust Polynomial Optimization
Martin Mevissen, Emanuele Ragnoli and Jia Y. Yu
Advances in Neural Information Processing Systems 26, 2013


Stochastic Convex Optimization with Multiple Objectives
Mehrdad Mahdavi, Tianbao Yang and Rong Jin
Advances in Neural Information Processing Systems 26, 2013


Mixed Optimization for Smooth Functions
Mehrdad Mahdavi, Lijun Zhang and Rong Jin
Advances in Neural Information Processing Systems 26, 2013


Linear Convergence with Condition Number Independent Access of Full Gradients
Lijun Zhang, Mehrdad Mahdavi and Rong Jin
Advances in Neural Information Processing Systems 26, 2013


Estimation, Optimization, and Parallelism when Data is Sparse
John Duchi, Michael Jordan and Brendan Mcmahan
Advances in Neural Information Processing Systems 26, 2013


Accelerated Mini-Batch Stochastic Dual Coordinate Ascent
Shai Shalev-shwartz and Tong Zhang
Advances in Neural Information Processing Systems 26, 2013


Accelerating Stochastic Gradient Descent using Predictive Variance Reduction
Rie Johnson and Tong Zhang
Advances in Neural Information Processing Systems 26, 2013


On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization
Ke Hou, Zirui Zhou, Anthony M. So and Zhi-quan Luo
Advances in Neural Information Processing Systems 26, 2013


Polar Operators for Structured Sparse Estimation
Xinhua Zhang, Yao-liang Yu and Dale Schuurmans
Advances in Neural Information Processing Systems 26, 2013


Better Approximation and Faster Algorithm Using the Proximal Average
Yao-liang Yu
Advances in Neural Information Processing Systems 26, 2013


Pass-efficient unsupervised feature selection
Crystal Maung and Haim Schweitzer
Advances in Neural Information Processing Systems 26, 2013


Compressive Feature Learning
Hristo S. Paskov, Robert West, John C. Mitchell and Trevor Hastie
Advances in Neural Information Processing Systems 26, 2013


Confidence Intervals and Hypothesis Testing for High-Dimensional Statistical Models
Adel Javanmard and Andrea Montanari
Advances in Neural Information Processing Systems 26, 2013


Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition
Adel Javanmard and Andrea Montanari
Advances in Neural Information Processing Systems 26, 2013


Learning and using language via recursive pragmatic reasoning about other agents
Nathaniel J. Smith, Noah Goodman and Michael Frank
Advances in Neural Information Processing Systems 26, 2013


Understanding variable importances in forests of randomized trees
Gilles Louppe, Louis Wehenkel, Antonio Sutera and Pierre Geurts
Advances in Neural Information Processing Systems 26, 2013


Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
Marco Cuturi
Advances in Neural Information Processing Systems 26, 2013


Deep Fisher Networks for Large-Scale Image Classification
Karen Simonyan, Andrea Vedaldi and Andrew Zisserman
Advances in Neural Information Processing Systems 26, 2013


Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching
Marcelo Fiori, Pablo Sprechmann, Joshua T. Vogelstein, Pablo Muse and Guillermo Sapiro
Advances in Neural Information Processing Systems 26, 2013


Speeding up Permutation Testing in Neuroimaging
Chris Hinrichs, Vamsi Ithapu, Qinyuan Sun, Sterling C. Johnson and Vikas Singh
Advances in Neural Information Processing Systems 26, 2013


BIG \& QUIC: Sparse Inverse Covariance Estimation for a Million Variables
Cho-jui Hsieh, Matyas A. Sustik, Inderjit Dhillon, Pradeep Ravikumar and Russell Poldrack
Advances in Neural Information Processing Systems 26, 2013


Robust Spatial Filtering with Beta Divergence
Wojciech Samek, Duncan Blythe, Klaus-robert Müller and Motoaki Kawanabe
Advances in Neural Information Processing Systems 26, 2013


Generalizing Analytic Shrinkage for Arbitrary Covariance Structures
Daniel Bartz and Klaus-robert Müller
Advances in Neural Information Processing Systems 26, 2013


Dimension-Free Exponentiated Gradient
Francesco Orabona
Advances in Neural Information Processing Systems 26, 2013


Distributed Exploration in Multi-Armed Bandits
Eshcar Hillel, Zohar S. Karnin, Tomer Koren, Ronny Lempel and Oren Somekh
Advances in Neural Information Processing Systems 26, 2013


Learning from Limited Demonstrations
Beomjoon Kim, Amir M. Farahmand, Joelle Pineau and Doina Precup
Advances in Neural Information Processing Systems 26, 2013


Actor-Critic Algorithms for Risk-Sensitive MDPs
Prashanth L.a. and Mohammad Ghavamzadeh
Advances in Neural Information Processing Systems 26, 2013


Approximate Inference in Continuous Determinantal Processes
Raja H. Affandi, Emily Fox and Ben Taskar
Advances in Neural Information Processing Systems 26, 2013


Using multiple samples to learn mixture models
Jason Lee, Ran Gilad-bachrach and Rich Caruana
Advances in Neural Information Processing Systems 26, 2013


The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited
Matthias Hein, Simon Setzer, Leonardo Jost and Syama S. Rangapuram
Advances in Neural Information Processing Systems 26, 2013


Small-Variance Asymptotics for Hidden Markov Models
Anirban Roychowdhury, Ke Jiang and Brian Kulis
Advances in Neural Information Processing Systems 26, 2013


How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal
Jacob Abernethy, Peter Bartlett, Rafael Frongillo and Andre Wibisono
Advances in Neural Information Processing Systems 26, 2013


Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints
Rishabh K. Iyer and Jeff A. Bilmes
Advances in Neural Information Processing Systems 26, 2013


Adaptive Market Making via Online Learning
Jacob Abernethy and Satyen Kale
Advances in Neural Information Processing Systems 26, 2013


Eluder Dimension and the Sample Complexity of Optimistic Exploration
Dan Russo and Benjamin V. Roy
Advances in Neural Information Processing Systems 26, 2013


From Bandits to Experts: A Tale of Domination and Independence
Noga Alon, Nicolò Cesa-bianchi, Claudio Gentile and Yishay Mansour
Advances in Neural Information Processing Systems 26, 2013


On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability Estimation
Harikrishna Narasimhan and Shivani Agarwal
Advances in Neural Information Processing Systems 26, 2013


Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses
Harish G. Ramaswamy, Shivani Agarwal and Ambuj Tewari
Advances in Neural Information Processing Systems 26, 2013


More data speeds up training time in learning halfspaces over sparse vectors
Amit Daniely, Nati Linial and Shai Shalev-shwartz
Advances in Neural Information Processing Systems 26, 2013


Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima
Po-ling Loh and Martin J. Wainwright
Advances in Neural Information Processing Systems 26, 2013


PAC-Bayes-Empirical-Bernstein Inequality
Ilya O. Tolstikhin and Yevgeny Seldin
Advances in Neural Information Processing Systems 26, 2013


Information-theoretic lower bounds for distributed statistical estimation with communication constraints
Yuchen Zhang, John Duchi, Michael Jordan and Martin J. Wainwright
Advances in Neural Information Processing Systems 26, 2013


Message Passing Inference with Chemical Reaction Networks
Nils E. Napp and Ryan P. Adams
Advances in Neural Information Processing Systems 26, 2013


Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n)
Francis Bach and Eric Moulines
Advances in Neural Information Processing Systems 26, 2013


Graphical Models for Inference with Missing Data
Karthika Mohan, Judea Pearl and Jin Tian
Advances in Neural Information Processing Systems 26, 2013


Regression-tree Tuning in a Streaming Setting
Samory Kpotufe and Francesco Orabona
Advances in Neural Information Processing Systems 26, 2013


Inverse Density as an Inverse Problem: the Fredholm Equation Approach
Qichao Que and Mikhail Belkin
Advances in Neural Information Processing Systems 26, 2013


Learning Kernels Using Local Rademacher Complexity
Corinna Cortes, Marius Kloft and Mehryar Mohri
Advances in Neural Information Processing Systems 26, 2013


Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space
Xinhua Zhang, Wee S. Lee and Yee W. Teh
Advances in Neural Information Processing Systems 26, 2013


More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server
Qirong Ho, James Cipar, Henggang Cui, Seunghak Lee, Jin K. Kim, Phillip B. Gibbons, Garth A. Gibson, Greg Ganger and Eric Xing
Advances in Neural Information Processing Systems 26, 2013


A Kernel Test for Three-Variable Interactions
Dino Sejdinovic, Arthur Gretton and Wicher Bergsma
Advances in Neural Information Processing Systems 26, 2013


Lasso Screening Rules via Dual Polytope Projection
Jie Wang, Jiayu Zhou, Peter Wonka and Jieping Ye
Advances in Neural Information Processing Systems 26, 2013


Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis
Nikhil Rao, Christopher Cox, Rob Nowak and Timothy T. Rogers
Advances in Neural Information Processing Systems 26, 2013


Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits
Ben Shababo, Brooks Paige, Ari Pakman and Liam Paninski
Advances in Neural Information Processing Systems 26, 2013


Scoring Workers in Crowdsourcing: How Many Control Questions are Enough?
Qiang Liu, Alex Ihler and Mark Steyvers
Advances in Neural Information Processing Systems 26, 2013


Linear decision rule as aspiration for simple decision heuristics
Ozgur Simsek
Advances in Neural Information Processing Systems 26, 2013


Optimizing Instructional Policies
Robert Lindsey, Michael Mozer, William J. Huggins and Harold Pashler
Advances in Neural Information Processing Systems 26, 2013


Bayesian inference as iterated random functions with applications to sequential inference in graphical models
Arash Amini and Xuanlong Nguyen
Advances in Neural Information Processing Systems 26, 2013


Approximate inference in latent Gaussian-Markov models from continuous time observations
Botond Cseke, Manfred Opper and Guido Sanguinetti
Advances in Neural Information Processing Systems 26, 2013


Restricting exchangeable nonparametric distributions
Sinead A. Williamson, Steve N. Maceachern and Eric Xing
Advances in Neural Information Processing Systems 26, 2013


Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex
Sam Patterson and Yee W. Teh
Advances in Neural Information Processing Systems 26, 2013


Dropout Training as Adaptive Regularization
Stefan Wager, Sida Wang and Percy Liang
Advances in Neural Information Processing Systems 26, 2013


Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs
Vikash Mansinghka, Tejas D. Kulkarni, Yura N. Perov and Josh Tenenbaum
Advances in Neural Information Processing Systems 26, 2013


A simple example of Dirichlet process mixture inconsistency for the number of components
Jeffrey W. Miller and Matthew T. Harrison
Advances in Neural Information Processing Systems 26, 2013


Annealing between distributions by averaging moments
Roger B. Grosse, Chris J. Maddison and Ruslan Salakhutdinov
Advances in Neural Information Processing Systems 26, 2013


Understanding Dropout
Pierre Baldi and Peter J. Sadowski
Advances in Neural Information Processing Systems 26, 2013


Recurrent linear models of simultaneously-recorded neural populations
Marius Pachitariu, Biljana Petreska and Maneesh Sahani
Advances in Neural Information Processing Systems 26, 2013


Demixing odors - fast inference in olfaction
Agnieszka Grabska-barwinska, Jeff Beck, Alexandre Pouget and Peter Latham
Advances in Neural Information Processing Systems 26, 2013


Noise-Enhanced Associative Memories
Amin Karbasi, Amir H. Salavati, Amin Shokrollahi and Lav R. Varshney
Advances in Neural Information Processing Systems 26, 2013


Inferring neural population dynamics from multiple partial recordings of the same neural circuit
Srini Turaga, Lars Buesing, Adam M. Packer, Henry Dalgleish, Noah Pettit, Michael Hausser and Jakob Macke
Advances in Neural Information Processing Systems 26, 2013


Bayesian entropy estimation for binary spike train data using parametric prior knowledge
Evan W. Archer, Il M. Park and Jonathan W. Pillow
Advances in Neural Information Processing Systems 26, 2013


A memory frontier for complex synapses
Subhaneil Lahiri and Surya Ganguli
Advances in Neural Information Processing Systems 26, 2013


Correlations strike back (again): the case of associative memory retrieval
Cristina Savin, Peter Dayan and Mate Lengyel
Advances in Neural Information Processing Systems 26, 2013


Structured Learning via Logistic Regression
Justin Domke
Advances in Neural Information Processing Systems 26, 2013


Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model
Fang Han and Han Liu
Advances in Neural Information Processing Systems 26, 2013


Reconciling "priors" and "priors" without prejudice?
Remi Gribonval and Pierre Machart
Advances in Neural Information Processing Systems 26, 2013


Convex Two-Layer Modeling
Özlem Aslan, Hao Cheng, Xinhua Zhang and Dale Schuurmans
Advances in Neural Information Processing Systems 26, 2013


Matrix Completion From any Given Set of Observations
Troy Lee and Adi Shraibman
Advances in Neural Information Processing Systems 26, 2013


Provable Subspace Clustering: When LRR meets SSC
Yu-xiang Wang, Huan Xu and Chenlei Leng
Advances in Neural Information Processing Systems 26, 2013


Non-Uniform Camera Shake Removal Using a Spatially-Adaptive Sparse Penalty
Haichao Zhang and David Wipf
Advances in Neural Information Processing Systems 26, 2013


On Decomposing the Proximal Map
Yao-liang Yu
Advances in Neural Information Processing Systems 26, 2013


Unsupervised Spectral Learning of Finite State Transducers
Raphael Bailly, Xavier Carreras and Ariadna Quattoni
Advances in Neural Information Processing Systems 26, 2013


On the Complexity and Approximation of Binary Evidence in Lifted Inference
Guy Broeck and Adnan Darwiche
Advances in Neural Information Processing Systems 26, 2013


Matrix factorization with binary components
Martin Slawski, Matthias Hein and Pavlo Lutsik
Advances in Neural Information Processing Systems 26, 2013


Exact and Stable Recovery of Pairwise Interaction Tensors
Shouyuan Chen, Michael R. Lyu, Irwin King and Zenglin Xu
Advances in Neural Information Processing Systems 26, 2013


Adaptive Anonymity via b-Matching
Krzysztof M. Choromanski, Tony Jebara and Kui Tang
Advances in Neural Information Processing Systems 26, 2013


Scalable Influence Estimation in Continuous-Time Diffusion Networks
Nan Du, Le Song, Manuel Gomez-rodriguez and Hongyuan Zha
Advances in Neural Information Processing Systems 26, 2013


Active Learning for Multi-Objective Optimization
Marcela Zuluaga, Guillaume Sergent, Andreas Krause and Markus Püschel
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Gibbs Max-Margin Topic Models with Fast Sampling Algorithms
Jun Zhu, Ning Chen, Hugh Perkins and Bo Zhang
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Sparse Uncorrelated Linear Discriminant Analysis
Xiaowei Zhang and Delin Chu
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Online Latent Dirichlet Allocation with Infinite Vocabulary
Ke Zhai and Jordan L. Boyd-graber
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Characterizing the Representer Theorem
Yaoliang Yu, Hao Cheng, Dale Schuurmans and Csaba Szepesvári
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Cost-Sensitive Tree of Classifiers
Zhixiang Xu, Matt Kusner, Minmin Chen and Kilian Q. Weinberger
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Domain Adaptation for Sequence Labeling Tasks with a Probabilistic Language Adaptation Model
Min Xiao and Yuhong Guo
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Efficient Sparse Group Feature Selection via Nonconvex Optimization
Shuo Xiang, Xiaoshen Tong and Jieping Ye
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Parsing epileptic events using a Markov switching process model for correlated time series
Drausin Wulsin, Brian Litt and Emily B. Fox
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Adaptive Sparsity in Gaussian Graphical Models
Eleanor Wong, Suyash Awate and P. T. Fletcher
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models
Sinead Williamson, Avinava Dubey and Eric P. Xing
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Noisy Sparse Subspace Clustering
Yu-xiang Wang and Huan Xu
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning with Marginalized Corrupted Features
Laurens Maaten, Minmin Chen, Stephen Tyree and Kilian Q. Weinberger
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Convex Adversarial Collective Classification
Mohamadali Torkamani and Daniel Lowd
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


An Optimal Policy for Target Localization with Application to Electron Microscopy
Raphael Sznitman, Aurelien Lucchi, Peter Frazier, Bruno Jedynak and Pascal Fua
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Dual Averaging and Proximal Gradient Descent for Online Alternating Direction Multiplier Method
Taiji Suzuki
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A New Frontier of Kernel Design for Structured Data
Kilho Shin
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
Ohad Shamir and Tong Zhang
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


ELLA: An Efficient Lifelong Learning Algorithm
Eric Eaton and Paul L. Ruvolo
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Optimal rates for stochastic convex optimization under Tsybakov noise condition
Aaditya Ramdas and Aarti Singh
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification
Ofir Pele, Ben Taskar, Amir Globerson and Michael Werman
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Human Boosting
Harsh Pareek and Pradeep Ravikumar
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Stochastic Alternating Direction Method of Multipliers
Hua Ouyang, Niao He, Long Tran and Alexander G. Gray
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Enhanced statistical rankings via targeted data collection
Braxton Osting, Christoph Brune and Stanley Osher
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Online Feature Selection for Model-based Reinforcement Learning
Trung Nguyen, Zhuoru Li, Tomi Silander and Tze Y. Leong
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A Structural SVM Based Approach for Optimizing Partial AUC
Harikrishna Narasimhan and Shivani Agarwal
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Domain Generalization via Invariant Feature Representation
Krikamol Muandet, David Balduzzi and Bernhard Schölkopf
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A Machine Learning Framework for Programming by Example
Aditya Menon, Omer Tamuz, Sumit Gulwani, Butler Lampson and Adam Kalai
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Sparsity-Based Generalization Bounds for Predictive Sparse Coding
Nishant Mehta and Alexander G. Gray
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Optimal Regret Bounds for Selecting the State Representation in Reinforcement Learning
Odalric-ambrym Maillard, Phuong Nguyen, Ronald Ortner and Daniil Ryabko
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Vanishing Component Analysis
Roi Livni, David Lehavi, Sagi Schein, Hila Nachliely, Shai Shalev-shwartz and Amir Globerson
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Robust Structural Metric Learning
Daryl Lim, Brian Mcfee and Gert R. Lanckriet
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Fixed-Point Model For Structured Labeling
Quannan Li, Jingdong Wang, Zhuowen Tu and David P. Wipf
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning Hash Functions Using Column Generation
Xi Li, Guosheng Lin, Chunhua Shen, Anton Hengel and Anthony Dick
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
Simon Lacoste-julien, Martin Jaggi, Mark Schmidt and Patrick Pletscher
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Convex Relaxations for Learning Bounded-Treewidth Decomposable Graphs
K. Kumar and Francis R. Bach
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization
Abhishek Kumar, Vikas Sindhwani and Prabhanjan Kambadur
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Near-Optimal Bounds for Cross-Validation via Loss Stability
Ravi Kumar, Daniel Lokshtanov, Sergei Vassilvitskii and Andrea Vattani
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Approximation properties of DBNs with binary hidden units and real-valued visible units
Oswin Krause, Asja Fischer, Tobias Glasmachers and Christian Igel
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Feature Selection in High-Dimensional Classification
Mladen Kolar and Han Liu
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Iterative Learning and Denoising in Convolutional Neural Associative Memories
Amin Karbasi, Amir H. Salavati and Amin Shokrollahi
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A Generalized Kernel Approach to Structured Output Learning
Hachem Kadri, Mohammad Ghavamzadeh and Philippe Preux
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization
Martin Jaggi
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Adaptive Task Assignment for Crowdsourced Classification
Chien-ju Ho, Shahin Jabbari and Jennifer W. Vaughan
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Fast Probabilistic Optimization from Noisy Gradients
Philipp Hennig
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Dynamic Probabilistic Models for Latent Feature Propagation in Social Networks
Creighton Heaukulani and Zoubin Ghahramani
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Principal Component Analysis on non-Gaussian Dependent Data
Fang Han and Han Liu
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Modelling Sparse Dynamical Systems with Compressed Predictive State Representations
William L. Hamilton, Mahdi M. Fard and Joelle Pineau
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Dynamical Models and tracking regret in online convex programming
Eric Hall and Rebecca Willett
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Average Reward Optimization Objective In Partially Observable Domains
Yuri Grinberg and Doina Precup
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation
Boqing Gong, Kristen Grauman and Fei Sha
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Efficient Active Learning of Halfspaces: an Aggressive Approach
Alon Gonen, Sivan Sabato and Shai Shalev-shwartz
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning an Internal Dynamics Model from Control Demonstration
Matthew Golub, Steven Chase and Byron M. Yu
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Discriminatively Activated Sparselets
Hyun O. Song, Trevor Darrell and Ross B. Girshick
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Scaling Multidimensional Gaussian Processes using Projected Additive Approximations
Elad Gilboa, Yunus Saatçci and John P. Cunningham
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction
Sébastien Gigu\`ere, Mario Marchand, Khadidja Sylla and François Laviolette
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Convex formulations of radius-margin based Support Vector Machines
Alexandros Kalousis and Huyen T. Do
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning Optimally Sparse Support Vector Machines
Andrew Cotter, Shai Shalev-shwartz and Nati Srebro
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Rounding Methods for Discrete Linear Classification
Yann Chevaleyre, Frédéerick Koriche and Jean-daniel Zucker
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


General Functional Matrix Factorization Using Gradient Boosting
Tianqi Chen, Hang Li, Qiang Yang and Yong Yu
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery
Yudong Chen and Constantine Caramanis
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Maximum Variance Correction with Application to A* Search
Wenlin Chen, Yixin Chen and Kilian Q. Weinberger
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization
Yuxin Chen and Andreas Krause
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Combinatorial Multi-Armed Bandit: General Framework and Applications
Wei Chen, Yajun Wang and Yang Yuan
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Constrained fractional set programs and their application in local clustering and community detection
Thomas Bühler, Shyam S. Rangapuram, Simon Setzer and Matthias Hein
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Multiple Identifications in Multi-Armed Bandits
Tengyao Wang, Nitin Viswanathan and Sébastien Bubeck
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A Spectral Learning Approach to Range-Only SLAM
Byron Boots and Geoffrey J. Gordon
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures
Daniel Yamins, David Tax and James S. Bergstra
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Better Mixing via Deep Representations
Yoshua Bengio, Gregoire Mesnil, Yann Dauphin and Salah Rifai
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Efficient Semi-supervised and Active Learning of Disjunctions
Christopher Berlind, Steven Ehrlich, Yingyu Liang and Maria-Florina Balcan
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Efficient Dimensionality Reduction for Canonical Correlation Analysis
Haim Avron, Christos Boutsidis, Sivan Toledo and Anastasios Zouzias
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning Linear Bayesian Networks with Latent Variables
Animashree Anandkumar, Adel Javanmard, Daniel J. Hsu and Sham M. Kakade
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning
Arash Afkanpour, András György, Michael Bowling and Csaba Szepesvári
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Large-Scale Bandit Problems and KWIK Learning
Kareem Amin, Michael Kearns, Moez Draief and Jacob D. Abernethy
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013