nips2014.md

NeurIPS2014

• Karen Simonyan, Andrew Zisserman. "Two-Stream Convolutional Networks for Action Recognition in Videos" | [Home Page] | [PDF]

• Amir Sani, Gergely Neu, Alessandro Lazaric. "Exploiting easy data in online optimization" | [Home Page] | [PDF]

• Agnieszka Grabska-Barwinska, Jonathan W. Pillow. "Optimal prior-dependent neural population codes under shared input noise" | [Home Page] | [PDF]

• Danfeng Qin, Xuanli Chen, Matthieu Guillaumin, Luc V. Gool. "Quantized Kernel Learning for Feature Matching" | [Home Page] | [PDF]

• Cho-Jui Hsieh, Inderjit S. Dhillon, Pradeep K. Ravikumar, Stephen Becker, Peder A. Olsen. "QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models" | [Home Page] | [PDF]

• Yingzhen Yang, Feng Liang, Shuicheng Yan, Zhangyang Wang, Thomas S. Huang. "On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification" | [Home Page] | [PDF]

• José Miguel Hernández-Lobato, Matthew W. Hoffman, Zoubin Ghahramani. "Predictive Entropy Search for Efficient Global Optimization of Black-box Functions" | [Home Page] | [PDF]

• Alexey Dosovitskiy, Jost Tobias Springenberg, Martin Riedmiller, Thomas Brox. "Discriminative Unsupervised Feature Learning with Convolutional Neural Networks" | [Home Page] | [PDF]

• Daniel Soudry, Itay Hubara, Ron Meir. "Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights" | [Home Page] | [PDF]

• Jianbo Yang, Xuejun Liao, Minhua Chen, Lawrence Carin. "Compressive Sensing of Signals from a GMM with Sparse Precision Matrices" | [Home Page] | [PDF]

• Guangcan Liu, Ping Li. "Recovery of Coherent Data via Low-Rank Dictionary Pursuit" | [Home Page] | [PDF]

• Wojciech Zaremba, Karol Kurach, Rob Fergus. "Learning to Discover Efficient Mathematical Identities" | [Home Page] | [PDF]

• Jasper De Bock, Cassio P. de Campos, Alessandro Antonucci. "Global Sensitivity Analysis for MAP Inference in Graphical Models" | [Home Page] | [PDF]

• Volodymyr Mnih, Nicolas Heess, Alex Graves, koray kavukcuoglu. "Recurrent Models of Visual Attention" | [Home Page] | [PDF]

• Judy Hoffman, Sergio Guadarrama, Eric S. Tzeng, Ronghang Hu, Jeff Donahue, Ross Girshick, Trevor Darrell, Kate Saenko. "LSDA: Large Scale Detection through Adaptation" | [Home Page] | [PDF]

• Dylan Festa, Guillaume Hennequin, Mate Lengyel. "Analog Memories in a Balanced Rate-Based Network of E-I Neurons" | [Home Page] | [PDF]

• Hastagiri P. Vanchinathan, Gábor Bartók, Andreas Krause. "Efficient Partial Monitoring with Prior Information" | [Home Page] | [PDF]

• Ian Osband, Benjamin Van Roy. "Near-optimal Reinforcement Learning in Factored MDPs" | [Home Page] | [PDF]

• Robert A. Vandermeulen, Clayton Scott. "Robust Kernel Density Estimation by Scaling and Projection in Hilbert Space" | [Home Page] | [PDF]

• Tianbao Yang, Rong Jin. "Extracting Certainty from Uncertainty: Transductive Pairwise Classification from Pairwise Similarities" | [Home Page] | [PDF]

• Boqing Gong, Wei-Lun Chao, Kristen Grauman, Fei Sha. "Diverse Sequential Subset Selection for Supervised Video Summarization" | [Home Page] | [PDF]

• Francesco Orabona. "Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning" | [Home Page] | [PDF]

• Guido F. Montufar, Razvan Pascanu, Kyunghyun Cho, Yoshua Bengio. "On the Number of Linear Regions of Deep Neural Networks" | [Home Page] | [PDF]

• Ian Osband, Benjamin Van Roy. "Model-based Reinforcement Learning and the Eluder Dimension" | [Home Page] | [PDF]

• Kacper P. Chwialkowski, Dino Sejdinovic, Arthur Gretton. "A Wild Bootstrap for Degenerate Kernel Tests" | [Home Page] | [PDF]

• Joao Semedo, Amin Zandvakili, Adam Kohn, Christian K. Machens, Byron M. Yu. "Extracting Latent Structure From Multiple Interacting Neural Populations" | [Home Page] | [PDF]

• Roger Frigola, Yutian Chen, Carl Edward Rasmussen. "Variational Gaussian Process State-Space Models" | [Home Page] | [PDF]

• Zhenyao Zhu, Ping Luo, Xiaogang Wang, Xiaoou Tang. "Multi-View Perceptron: a Deep Model for Learning Face Identity and View Representations" | [Home Page] | [PDF]

• Romain Paulus, Richard Socher, Christopher D. Manning. "Global Belief Recursive Neural Networks" | [Home Page] | [PDF]

• Jason Chang, John W. Fisher III. "Parallel Sampling of HDPs using Sub-Cluster Splits" | [Home Page] | [PDF]

• Christopher Meek, Marina Meila. "Recursive Inversion Models for Permutations" | [Home Page] | [PDF]

• Maria-Florina F. Balcan, Christopher Berlind, Avrim Blum, Emma Cohen, Kaushik Patnaik, Le Song. "Active Learning and Best-Response Dynamics" | [Home Page] | [PDF]

• Mario Marchand, Hongyu Su, Emilie Morvant, Juho Rousu, John S. Shawe-Taylor. "Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks" | [Home Page] | [PDF]

• Yann N. Dauphin, Razvan Pascanu, Caglar Gulcehre, Kyunghyun Cho, Surya Ganguli, Yoshua Bengio. "Identifying and attacking the saddle point problem in high-dimensional non-convex optimization" | [Home Page] | [PDF]

• Charles Kervrann. "PEWA: Patch-based Exponentially Weighted Aggregation for image denoising" | [Home Page] | [PDF]

• Jie Wang, Jiayu Zhou, Jun Liu, Peter Wonka, Jieping Ye. "A Safe Screening Rule for Sparse Logistic Regression" | [Home Page] | [PDF]

• Hyun Oh Song, Yong Jae Lee, Stefanie Jegelka, Trevor Darrell. "Weakly-supervised Discovery of Visual Pattern Configurations" | [Home Page] | [PDF]

• Marijn F. Stollenga, Jonathan Masci, Faustino Gomez, Jürgen Schmidhuber. "Deep Networks with Internal Selective Attention through Feedback Connections" | [Home Page] | [PDF]

• Remi Lemonnier, Kevin Scaman, Nicolas Vayatis. "Tight Bounds for Influence in Diffusion Networks and Application to Bond Percolation and Epidemiology" | [Home Page] | [PDF]

• Patrick Putzky, Florian Franzen, Giacomo Bassetto, Jakob H. Macke. "A Bayesian model for identifying hierarchically organised states in neural population activity" | [Home Page] | [PDF]

• Li Xu, Jimmy SJ Ren, Ce Liu, Jiaya Jia. "Deep Convolutional Neural Network for Image Deconvolution" | [Home Page] | [PDF]

• Qian Wang, Jiaxing Zhang, Sen Song, Zheng Zhang. "Attentional Neural Network: Feature Selection Using Cognitive Feedback" | [Home Page] | [PDF]

• Ofer Dekel, Elad Hazan, Tomer Koren. "The Blinded Bandit: Learning with Adaptive Feedback" | [Home Page] | [PDF]

• Dinesh Jayaraman, Kristen Grauman. "Zero-shot recognition with unreliable attributes" | [Home Page] | [PDF]

• Mu Li, David G. Andersen, Alexander J. Smola, Kai Yu. "Communication Efficient Distributed Machine Learning with the Parameter Server" | [Home Page] | [PDF]

• Cong Han Lim, Stephen Wright. "Beyond the Birkhoff Polytope: Convex Relaxations for Vector Permutation Problems" | [Home Page] | [PDF]

• Charles Y. Zheng, Franco Pestilli, Ariel Rokem. "Deconvolution of High Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain" | [Home Page] | [PDF]

• Prateek Jain, Ambuj Tewari, Purushottam Kar. "On Iterative Hard Thresholding Methods for High-dimensional M-Estimation" | [Home Page] | [PDF]

• Nan Ding, Youhan Fang, Ryan Babbush, Changyou Chen, Robert D. Skeel, Hartmut Neven. "Bayesian Sampling Using Stochastic Gradient Thermostats" | [Home Page] | [PDF]

• Lingqiao Liu, Chunhua Shen, Lei Wang, Anton van den Hengel, Chao Wang. "Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors" | [Home Page] | [PDF]

• Tomáš Kocák, Gergely Neu, Michal Valko, Remi Munos. "Efficient learning by implicit exploration in bandit problems with side observations" | [Home Page] | [PDF]

• Somdeb Sarkhel, Deepak Venugopal, Parag Singla, Vibhav G. Gogate. "An Integer Polynomial Programming Based Framework for Lifted MAP Inference" | [Home Page] | [PDF]

• Guy Bresler, David Gamarnik, Devavrat Shah. "Hardness of parameter estimation in graphical models" | [Home Page] | [PDF]

• Rashish Tandon, Karthikeyan Shanmugam, Pradeep K. Ravikumar, Alexandros G. Dimakis. "On the Information Theoretic Limits of Learning Ising Models" | [Home Page] | [PDF]

• Xianghang Liu, Justin Domke. "Projecting Markov Random Field Parameters for Fast Mixing" | [Home Page] | [PDF]

• Tofigh Naghibi Mohamadpoor, Beat Pfister. "A Boosting Framework on Grounds of Online Learning" | [Home Page] | [PDF]

• Siu On Chan, Ilias Diakonikolas, Rocco A. Servedio, Xiaorui Sun. "Near-Optimal Density Estimation in Near-Linear Time Using Variable-Width Histograms" | [Home Page] | [PDF]

• Jing Qian, Venkatesh Saligrama. "Efficient Minimax Signal Detection on Graphs" | [Home Page] | [PDF]

• Nisheeth Srivastava, Ed Vul, Paul R. Schrater. "Magnitude-sensitive preference formation`" | [Home Page] | [PDF]

• Tuo Zhao, Mo Yu, Yiming Wang, Raman Arora, Han Liu. "Accelerated Mini-batch Randomized Block Coordinate Descent Method" | [Home Page] | [PDF]

• Pedro Felzenszwalb, John G. Oberlin. "Multiscale Fields of Patterns" | [Home Page] | [PDF]

• Odalric-Ambrym Maillard, Timothy A. Mann, Shie Mannor. "How hard is my MDP?" The distribution-norm to the rescue"" | [Home Page] | [PDF]

• Cem Subakan, Johannes Traa, Paris Smaragdis. "Spectral Learning of Mixture of Hidden Markov Models" | [Home Page] | [PDF]

• Emily L. Denton, Wojciech Zaremba, Joan Bruna, Yann LeCun, Rob Fergus. "Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation" | [Home Page] | [PDF]

• Thang D. Bui, Richard E. Turner. "Tree-structured Gaussian Process Approximations" | [Home Page] | [PDF]

• Jan Drugowitsch, Ruben Moreno-Bote, Alexandre Pouget. "Optimal decision-making with time-varying evidence reliability" | [Home Page] | [PDF]

• Sarath Chandar A P, Stanislas Lauly, Hugo Larochelle, Mitesh Khapra, Balaraman Ravindran, Vikas C. Raykar, Amrita Saha. "An Autoencoder Approach to Learning Bilingual Word Representations" | [Home Page] | [PDF]

• De Wen Soh, Sekhar C. Tatikonda. "Testing Unfaithful Gaussian Graphical Models" | [Home Page] | [PDF]

• Ozan Irsoy, Claire Cardie. "Deep Recursive Neural Networks for Compositionality in Language" | [Home Page] | [PDF]

• Mingjun Zhong, Nigel Goddard, Charles Sutton. "Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation" | [Home Page] | [PDF]

• Florian Stimberg, Andreas Ruttor, Manfred Opper. "Poisson Process Jumping between an Unknown Number of Rates: Application to Neural Spike Data" | [Home Page] | [PDF]

• Cédric Févotte, Matthieu Kowalski. "Low-Rank Time-Frequency Synthesis" | [Home Page] | [PDF]

• Yuanyuan Mi, C. C. Alan Fung, K. Y. Michael Wong, Si Wu. "Spike Frequency Adaptation Implements Anticipative Tracking in Continuous Attractor Neural Networks" | [Home Page] | [PDF]

• Daniel Russo, Benjamin Van Roy. "Learning to Optimize via Information-Directed Sampling" | [Home Page] | [PDF]

• Qiang Liu, Alexander T. Ihler. "Distributed Estimation, Information Loss and Exponential Families" | [Home Page] | [PDF]

• Chris J. Maddison, Daniel Tarlow, Tom Minka. "A Sampling"* | [Home Page] | [PDF]

• Oluwasanmi O. Koyejo, Nagarajan Natarajan, Pradeep K. Ravikumar, Inderjit S. Dhillon. "Consistent Binary Classification with Generalized Performance Metrics" | [Home Page] | [PDF]

• Anshumali Shrivastava, Ping Li. "Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS)" | [Home Page] | [PDF]

• Karthika Mohan, Judea Pearl. "Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data" | [Home Page] | [PDF]

• Takayuki Osogami, Makoto Otsuka. "Restricted Boltzmann machines modeling human choice" | [Home Page] | [PDF]

• Harikrishna Narasimhan, Rohit Vaish, Shivani Agarwal. "On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures" | [Home Page] | [PDF]

• Shiau Hong Lim, Yudong Chen, Huan Xu. "Clustering from Labels and Time-Varying Graphs" | [Home Page] | [PDF]

• Pietro Vertechi, Wieland Brendel, Christian K. Machens. "Unsupervised learning of an efficient short-term memory network" | [Home Page] | [PDF]

• Shuhang Gu, Lei Zhang, Wangmeng Zuo, Xiangchu Feng. "Projective dictionary pair learning for pattern classification" | [Home Page] | [PDF]

• Marthinus C. du Plessis, Gang Niu, Masashi Sugiyama. "Analysis of Learning from Positive and Unlabeled Data" | [Home Page] | [PDF]

• Qichao Que, Mikhail Belkin, Yusu Wang. "Learning with Fredholm Kernels" | [Home Page] | [PDF]

• Jason Yosinski, Jeff Clune, Yoshua Bengio, Hod Lipson. "How transferable are features in deep neural networks?" | [Home Page] | [PDF]

• Po-Ling Loh, Andre Wibisono. "Concavity of reweighted Kikuchi approximation" | [Home Page] | [PDF]

• Been Kim, Cynthia Rudin, Julie A. Shah. "The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification" | [Home Page] | [PDF]

• Siqi Nie, Denis D. Maua, Cassio P. de Campos, Qiang Ji. "Advances in Learning Bayesian Networks of Bounded Treewidth" | [Home Page] | [PDF]

• Jun Zhu, Junhua Mao, Alan L. Yuille. "Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm" | [Home Page] | [PDF]

• Roi Livni, Shai Shalev-Shwartz, Ohad Shamir. "On the Computational Efficiency of Training Neural Networks" | [Home Page] | [PDF]

• Deepak Venugopal, Vibhav G. Gogate. "Scaling-up Importance Sampling for Markov Logic Networks" | [Home Page] | [PDF]

• Taylor Berg-Kirkpatrick, Jacob Andreas, Dan Klein. "Unsupervised Transcription of Piano Music" | [Home Page] | [PDF]

• Si Si, Donghyuk Shin, Inderjit S. Dhillon, Beresford N. Parlett. "Multi-Scale Spectral Decomposition of Massive Graphs" | [Home Page] | [PDF]

• Devansh Arpit, Ifeoma Nwogu, Venu Govindaraju. "Dimensionality Reduction with Subspace Structure Preservation" | [Home Page] | [PDF]

• Hyokun Yun, Parameswaran Raman, S. Vishwanathan. "Ranking via Robust Binary Classification" | [Home Page] | [PDF]

• Wouter M. Koolen, Tim van Erven, Peter Grünwald. "Learning the Learning Rate for Prediction with Expert Advice" | [Home Page] | [PDF]

• Mingyuan Zhou. "Beta-Negative Binomial Process and Exchangeable Random Partitions for Mixed-Membership Modeling" | [Home Page] | [PDF]

• Bolei Zhou, Agata Lapedriza, Jianxiong Xiao, Antonio Torralba, Aude Oliva. "Learning Deep Features for Scene Recognition using Places Database" | [Home Page] | [PDF]

• Hemant Tyagi, Bernd Gärtner, Andreas Krause. "Efficient Sampling for Learning Sparse Additive Models in High Dimensions" | [Home Page] | [PDF]

• Scott Linderman, Christopher H. Stock, Ryan P. Adams. "A framework for studying synaptic plasticity with neural spike train data" | [Home Page] | [PDF]

• Shreya Saxena, Munther Dahleh. "Real-Time Decoding of an Integrate and Fire Encoder" | [Home Page] | [PDF]

• Huahua Wang, Arindam Banerjee, Zhi-Quan Luo. "Parallel Direction Method of Multipliers" | [Home Page] | [PDF]

• Yining Wang, Jun Zhu. "Spectral Methods for Supervised Topic Models" | [Home Page] | [PDF]

• Deguang Kong, Ryohei Fujimaki, Ji Liu, Feiping Nie, Chris Ding. "Exclusive Feature Learning on Arbitrary Structures via $\ell_{1,2}$-norm" | [Home Page] | [PDF]

• Praneeth Netrapalli, Niranjan U N, Sujay Sanghavi, Animashree Anandkumar, Prateek Jain. "Non-convex Robust PCA" | [Home Page] | [PDF]

• Jennifer A. Gillenwater, Alex Kulesza, Emily Fox, Ben Taskar. "Expectation-Maximization for Learning Determinantal Point Processes" | [Home Page] | [PDF]

• Arindam Banerjee, Sheng Chen, Farideh Fazayeli, Vidyashankar Sivakumar. "Estimation with Norm Regularization" | [Home Page] | [PDF]

• Ian En-Hsu Yen, Ting-Wei Lin, Shou-De Lin, Pradeep K. Ravikumar, Inderjit S. Dhillon. "Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space" | [Home Page] | [PDF]

• William R. Vega-Brown, Marek Doniec, Nicholas G. Roy. "Nonparametric Bayesian inference on multivariate exponential families" | [Home Page] | [PDF]

• Ankit Garg, Tengyu Ma, Huy Nguyen. "On Communication Cost of Distributed Statistical Estimation and Dimensionality" | [Home Page] | [PDF]

• Eran Treister, Javier S. Turek. "A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation" | [Home Page] | [PDF]

• Woonhyun Nam, Piotr Dollar, Joon Hee Han. "Local Decorrelation For Improved Pedestrian Detection" | [Home Page] | [PDF]

• Ramya Korlakai Vinayak, Samet Oymak, Babak Hassibi. "Graph Clustering With Missing Data: Convex Algorithms and Analysis" | [Home Page] | [PDF]

• Cristina Savin, Sophie Denève. "Spatio-temporal Representations of Uncertainty in Spiking Neural Networks" | [Home Page] | [PDF]

• Michalis Titsias RC AUEB, Christopher Yau. "Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models" | [Home Page] | [PDF]

• Halid Z. Yerebakan, Bartek Rajwa, Murat Dundar. "The Infinite Mixture of Infinite Gaussian Mixtures" | [Home Page] | [PDF]

• Hidekazu Oiwa, Ryohei Fujimaki. "Partition-wise Linear Models" | [Home Page] | [PDF]

• Özlem Aslan, Xinhua Zhang, Dale Schuurmans. "Convex Deep Learning via Normalized Kernels" | [Home Page] | [PDF]

• Greg Ver Steeg, Aram Galstyan. "Discovering Structure in High-Dimensional Data Through Correlation Explanation" | [Home Page] | [PDF]

• Bilal Piot, Matthieu Geist, Olivier Pietquin. "Difference of Convex Functions Programming for Reinforcement Learning" | [Home Page] | [PDF]

• Jingwei Liang, Jalal Fadili, Gabriel Peyré. "Local Linear Convergence of Forward--Backward under Partial Smoothness" | [Home Page] | [PDF]

• Yingyu Liang, Maria-Florina F. Balcan, Vandana Kanchanapally, David Woodruff. "Improved Distributed Principal Component Analysis" | [Home Page] | [PDF]

• Srikanth Jagabathula, Lakshminarayanan Subramanian, Ashwin Venkataraman. "Reputation-based Worker Filtering in Crowdsourcing" | [Home Page] | [PDF]

• Yichao Lu, Dean P. Foster. "large scale canonical correlation analysis with iterative least squares" | [Home Page] | [PDF]

• Shinichi Nakajima, Issei Sato, Masashi Sugiyama, Kazuho Watanabe, Hiroko Kobayashi. "Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP" | [Home Page] | [PDF]

• Tapani Raiko, Yao Li, Kyunghyun Cho, Yoshua Bengio. "Iterative Neural Autoregressive Distribution Estimator NADE-k" | [Home Page] | [PDF]

• Maximilian Nickel, Xueyan Jiang, Volker Tresp. "Reducing the Rank in Relational Factorization Models by Including Observable Patterns" | [Home Page] | [PDF]

• William E. Bishop, Byron M. Yu. "Deterministic Symmetric Positive Semidefinite Matrix Completion" | [Home Page] | [PDF]

• Yariv D. Mizrahi, Misha Denil, Nando de Freitas. "Distributed Parameter Estimation in Probabilistic Graphical Models" | [Home Page] | [PDF]

• Jie Wang, Jieping Ye. "Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets" | [Home Page] | [PDF]

• Kamalika Chaudhuri, Daniel J. Hsu, Shuang Song. "The Large Margin Mechanism for Differentially Private Maximization" | [Home Page] | [PDF]

• Ricardo Silva, Robin Evans. "Causal Inference through a Witness Protection Program" | [Home Page] | [PDF]

• Xavier Boix, Gemma Roig, Salomon Diether, Luc V. Gool. "Self-Adaptable Templates for Feature Coding" | [Home Page] | [PDF]

• Luigi Acerbi, Wei Ji Ma, Sethu Vijayakumar. "A Framework for Testing Identifiability of Bayesian Models of Perception" | [Home Page] | [PDF]

• David Woodruff. "Low Rank Approximation Lower Bounds in Row-Update Streams" | [Home Page] | [PDF]

• Michael Schober, David K. Duvenaud, Philipp Hennig. "Probabilistic ODE Solvers with Runge-Kutta Means" | [Home Page] | [PDF]

• Viet-An Nguyen, Jordan L. Ying, Philip Resnik, Jonathan Chang. "Learning a Concept Hierarchy from Multi-labeled Documents" | [Home Page] | [PDF]

• Kumar Avinava Dubey, Qirong Ho, Sinead A. Williamson, Eric P. Xing. "Dependent nonparametric trees for dynamic hierarchical clustering" | [Home Page] | [PDF]

• Hossein Azari Soufiani, David C. Parkes, Lirong Xia. "A Statistical Decision-Theoretic Framework for Social Choice" | [Home Page] | [PDF]

• Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yoshua Bengio. "Generative Adversarial Nets" | [Home Page] | [PDF]

• Brendan McMahan, Matthew Streeter. "Delay-Tolerant Algorithms for Asynchronous Distributed Online Learning" | [Home Page] | [PDF]

• Christian Andersson Naesseth, Fredrik Lindsten, Thomas B. Schön. "Sequential Monte Carlo for Graphical Models" | [Home Page] | [PDF]

• Nan Du, Yingyu Liang, Maria-Florina F. Balcan, Le Song. "Learning Time-Varying Coverage Functions" | [Home Page] | [PDF]

• Dongqu Chen. "Learning Shuffle Ideals Under Restricted Distributions" | [Home Page] | [PDF]

• Alaa Saade, Florent Krzakala, Lenka Zdeborová. "Spectral Clustering of graphs with the Bethe Hessian" | [Home Page] | [PDF]

• Mehryar Mohri, Andres Munoz. "Optimal Regret Minimization in Posted-Price Auctions with Strategic Buyers" | [Home Page] | [PDF]

• Ohad Shamir. "Fundamental Limits of Online and Distributed Algorithms for Statistical Learning and Estimation" | [Home Page] | [PDF]

• Kareem Amin, Afshin Rostamizadeh, Umar Syed. "Repeated Contextual Auctions with Strategic Buyers" | [Home Page] | [PDF]

• Philip Bachman, Ouais Alsharif, Doina Precup. "Learning with Pseudo-Ensembles" | [Home Page] | [PDF]

• Nan Li, Rong Jin, Zhi-Hua Zhou. "Top Rank Optimization in Linear Time" | [Home Page] | [PDF]

• Sergey Levine, Pieter Abbeel. "Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics" | [Home Page] | [PDF]

• Shameem Puthiya Parambath, Nicolas Usunier, Yves Grandvalet. "Optimizing F-Measures by Cost-Sensitive Classification" | [Home Page] | [PDF]

• Cong Xie, Ling Yan, Wu-Jun Li, Zhihua Zhang. "Distributed Power-law Graph Computing: Theoretical and Empirical Analysis" | [Home Page] | [PDF]

• Meisam Razaviyayn, Mingyi Hong, Zhi-Quan Luo, Jong-Shi Pang. "Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization" | [Home Page] | [PDF]

• Sivan Sabato, Remi Munos. "Active Regression by Stratification" | [Home Page] | [PDF]

• David Adametz, Volker Roth. "Distance-Based Network Recovery under Feature Correlation" | [Home Page] | [PDF]

• M. Pawan Kumar. "Rounding-based Moves for Metric Labeling" | [Home Page] | [PDF]

• Elias Bareinboim, Judea Pearl. "Transportability from Multiple Environments with Limited Experiments: Completeness Results" | [Home Page] | [PDF]

• Brian McWilliams, Gabriel Krummenacher, Mario Lucic, Joachim M. Buhmann. "Fast and Robust Least Squares Estimation in Corrupted Linear Models" | [Home Page] | [PDF]

• Franziska Meier, Philipp Hennig, Stefan Schaal. "Incremental Local Gaussian Regression" | [Home Page] | [PDF]

• Yu Xin, Tommi Jaakkola. "Controlling privacy in recommender systems" | [Home Page] | [PDF]

• Mehmet Gönen, Adam A. Margolin. "Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology" | [Home Page] | [PDF]

• Jan Feyereisl, Suha Kwak, Jeany Son, Bohyung Han. "Object Localization based on Structural SVM using Privileged Information" | [Home Page] | [PDF]

• Jiashi Feng, Huan Xu, Shie Mannor, Shuicheng Yan. "Robust Logistic Regression and Classification" | [Home Page] | [PDF]

• Xuezhi Wang, Jeff Schneider. "Flexible Transfer Learning under Support and Model Shift" | [Home Page] | [PDF]

• Hau Chan, Luis E. Ortiz. "Computing Nash Equilibria in Generalized Interdependent Security Games" | [Home Page] | [PDF]

• Kishan Wimalawarne, Masashi Sugiyama, Ryota Tomioka. "Multitask learning meets tensor factorization: task imputation via convex optimization" | [Home Page] | [PDF]

• Daniel Hernández-lobato, Viktoriia Sharmanska, Kristian Kersting, Christoph H. Lampert, Novi Quadrianto. "Mind the Nuisance: Gaussian Process Classification using Privileged Noise" | [Home Page] | [PDF]

• Lionel Ott, Linsey Pang, Fabio T. Ramos, Sanjay Chawla. "On Integrated Clustering and Outlier Detection" | [Home Page] | [PDF]

• Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada. "Latent Support Measure Machines for Bag-of-Words Data Classification" | [Home Page] | [PDF]

• Murat Kocaoglu, Karthikeyan Shanmugam, Alexandros G. Dimakis, Adam Klivans. "Sparse Polynomial Learning and Graph Sketching" | [Home Page] | [PDF]

• Moritz Hardt, Eric Price. "The Noisy Power Method: A Meta Algorithm with Applications" | [Home Page] | [PDF]

• Quanquan Gu, Huan Gui, Jiawei Han. "Robust Tensor Decomposition with Gross Corruption" | [Home Page] | [PDF]

• Marek Petrik, Dharmashankar Subramanian. "RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning" | [Home Page] | [PDF]

• Oluwasanmi O. Koyejo, Rajiv Khanna, Joydeep Ghosh, Russell Poldrack. "On Prior Distributions and Approximate Inference for Structured Variables" | [Home Page] | [PDF]

• Miles Lopes. "A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs" | [Home Page] | [PDF]

• Zhaoran Wang, Huanran Lu, Han Liu. "Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time" | [Home Page] | [PDF]

• He He, Hal Daume III, Jason M. Eisner. "Learning to Search in Branch and Bound Algorithms" | [Home Page] | [PDF]

• Michael R. Andersen, Ole Winther, Lars K. Hansen. "Bayesian Inference for Structured Spike and Slab Priors" | [Home Page] | [PDF]

• S. M. Ali Eslami, Daniel Tarlow, Pushmeet Kohli, John Winn. "Just-In-Time Learning for Fast and Flexible Inference" | [Home Page] | [PDF]

• Andrew G. Wilson, Elad Gilboa, Arye Nehorai, John P. Cunningham. "Fast Kernel Learning for Multidimensional Pattern Extrapolation" | [Home Page] | [PDF]

• Abhishek Sharma, Oncel Tuzel, Ming-Yu Liu. "Recursive Context Propagation Network for Semantic Scene Labeling" | [Home Page] | [PDF]

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