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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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