AISTATS 2015
126 papers
A Consistent Method for Graph Based Anomaly Localization
Satoshi Hara, Tetsuro Morimura, Toshihiro Takahashi, Hiroki Yanagisawa, Taiji Suzuki A Dirichlet Process Mixture Model for Spherical Data
Julian Straub, Jason Chang, Oren Freifeld, John W. Fisher Iii A La Carte - Learning Fast Kernels
Zichao Yang, Andrew Gordon Wilson, Alexander J. Smola, Le Song A Scalable Algorithm for Structured Kernel Feature Selection
Shaogang Ren, Shuai Huang, John A. Onofrey, Xenios Papademetris, Xiaoning Qian A Topic Modeling Approach to Ranking
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama Active Pointillistic Pattern Search
Yifei Ma, Danica J. Sutherland, Roman Garnett, Jeff G. Schneider Consensus Message Passing for Layered Graphical Models
Varun Jampani, S. M. Ali Eslami, Daniel Tarlow, Pushmeet Kohli, John M. Winn Data Modeling with the Elliptical Gamma Distribution
Suvrit Sra, Reshad Hosseini, Lucas Theis, Matthias Bethge Deep Exponential Families
Rajesh Ranganath, Linpeng Tang, Laurent Charlin, David M. Blei Deeply-Supervised Nets
Chen-Yu Lee, Saining Xie, Patrick W. Gallagher, Zhengyou Zhang, Zhuowen Tu Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence
Nihar B. Shah, Sivaraman Balakrishnan, Joseph K. Bradley, Abhay Parekh, Kannan Ramchandran, Martin J. Wainwright Falling Rule Lists
Fulton Wang, Cynthia Rudin Fast Function to Function Regression
Junier B. Oliva, Willie Neiswanger, Barnabás Póczos, Eric P. Xing, Hy Trac, Shirley Ho, Jeff G. Schneider Generalized Linear Models for Aggregated Data
Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo Inference of Cause and Effect with Unsupervised Inverse Regression
Eleni Sgouritsa, Dominik Janzing, Philipp Hennig, Bernhard Schölkopf Latent Feature Regression for Multivariate Count Data
Arto Klami, Abhishek Tripathi, Johannes Sirola, Lauri Väre, Frédéric Roulland Metric Recovery from Directed Unweighted Graphs
Tatsunori B. Hashimoto, Yi Sun, Tommi S. Jaakkola Minimizing Nonconvex Non-Separable Functions
Yaoliang Yu, Xun Zheng, Micol Marchetti-Bowick, Eric P. Xing Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields
Mark Schmidt, Reza Babanezhad, Mohamed Osama Ahmed, Aaron Defazio, Ann Clifton, Anoop Sarkar On Anomaly Ranking and Excess-Mass Curves
Nicolas Goix, Anne Sabourin, Stéphan Clémençon On Estimating L22 Divergence
Akshay Krishnamurthy, Kirthevasan Kandasamy, Barnabás Póczos, Larry A. Wasserman On Theoretical Properties of Sum-Product Networks
Robert Peharz, Sebastian Tschiatschek, Franz Pernkopf, Pedro M. Domingos Online Optimization : Competing with Dynamic Comparators
Ali Jadbabaie, Alexander Rakhlin, Shahin Shahrampour, Karthik Sridharan Particle Gibbs for Bayesian Additive Regression Trees
Balaji Lakshminarayanan, Daniel M. Roy, Yee Whye Teh Particle Gibbs with Ancestor Sampling for Probabilistic Programs
Jan-Willem van de Meent, Hongseok Yang, Vikash Mansinghka, Frank D. Wood Power-Law Graph Cuts
Xiangyang Zhou, Jiaxin Zhang, Brian Kulis Preferential Attachment in Graphs with Affinities
Jay Lee, Manzil Zaheer, Stephan Günnemann, Alexander J. Smola Reactive Bandits with Attitude
Pedro A. Ortega, Kee-Eung Kim, Daniel D. Lee Scalable Nonparametric Multiway Data Analysis
Shandian Zhe, Zenglin Xu, Xinqi Chu, Yuan (Alan) Qi, Youngja Park Scalable Variational Gaussian Process Classification
James Hensman, Alexander G. de G. Matthews, Zoubin Ghahramani Sparse Dueling Bandits
Kevin G. Jamieson, Sumeet Katariya, Atul Deshpande, Robert D. Nowak Sparse Solutions to Nonnegative Linear Systems and Applications
Aditya Bhaskara, Ananda Theertha Suresh, Morteza Zadimoghaddam Sparse Submodular Probabilistic PCA
Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo Sparsistency of 1-Regularized M-Estimators
Yen-Huan Li, Jonathan Scarlett, Pradeep Ravikumar, Volkan Cevher Spectral Gap Error Bounds for Improving CUR Matrix Decomposition and the Nyström Method
David G. Anderson, Simon S. Du, Michael W. Mahoney, Christopher Melgaard, Kunming Wu, Ming Gu Tensor Factorization via Matrix Factorization
Volodymyr Kuleshov, Arun Tejasvi Chaganty, Percy Liang The Loss Surfaces of Multilayer Networks
Anna Choromanska, Mikael Henaff, Michaël Mathieu, Gérard Ben Arous, Yann LeCun Tradeoffs for Space, Time, Data and Risk in Unsupervised Learning
Mario Lucic, Mesrob I. Ohannessian, Amin Karbasi, Andreas Krause Trend Filtering on Graphs
Yu-Xiang Wang, James Sharpnack, Alexander J. Smola, Ryan J. Tibshirani Two-Stage Sampled Learning Theory on Distributions
Zoltán Szabó, Arthur Gretton, Barnabás Póczos, Bharath K. Sriperumbudur Variance Reduction via Antithetic Markov Chains
James Neufeld, Dale Schuurmans, Michael H. Bowling WASP: Scalable Bayes via Barycenters of Subset Posteriors
Sanvesh Srivastava, Volkan Cevher, Quoc Tran-Dinh, David B. Dunson