Papers
4,025 papers found
Stochastic Spectral Descent for Restricted Boltzmann Machines
David Carlson, Volkan Cevher, Lawrence Carin
Stochastic Structured Variational Inference
Matthew Hoffman, David Blei
Streaming Variational Inference for Bayesian Nonparametric Mixture Models
Alex Tank, Nicholas Foti, Emily Fox
Submodular Point Processes with Applications to Machine learning
Rishabh Iyer, Jeffrey Bilmes
Symmetric Iterative Proportional Fitting
Sven Kurras
Tensor Factorization via Matrix Factorization
Volodymyr Kuleshov, Arun Chaganty, Percy Liang
The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation
Fangjian Guo, Charles Blundell, Hanna Wallach et al.
The Log-Shift Penalty for Adaptive Estimation of Multiple Gaussian Graphical Models
Yuancheng Zhu, Rina Foygel Barber
The Loss Surfaces of Multilayer Networks
Anna Choromanska, MIkael Henaff, Michael Mathieu et al.
The Security of Latent Dirichlet Allocation
Shike Mei, Xiaojin Zhu
Tight Regret Bounds for Stochastic Combinatorial Semi-Bandits
Branislav Kveton, Zheng Wen, Azin Ashkan et al.
Toward Minimax Off-policy Value Estimation
Lihong Li, Remi Munos, Csaba Szepesvari
Tradeoffs for Space, Time, Data and Risk in Unsupervised Learning
Mario Lucic, Mesrob Ohannessian, Amin Karbasi et al.
Trend Filtering on Graphs
Yu-Xiang Wang, James Sharpnack, Alex Smola et al.
Two-stage sampled learning theory on distributions
Zoltan Szabo, Arthur Gretton, Barnabas Poczos et al.
Understanding and Evaluating Sparse Linear Discriminant Analysis
Yi Wu, David Wipf, Jeong-Min Yun
Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees
Stephen Bach, Bert Huang, Lise Getoor
Variance Reduction via Antithetic Markov Chains
James Neufeld, Dale Schuurmans, Michael Bowling
WASP: Scalable Bayes via barycenters of subset posteriors
Sanvesh Srivastava, Volkan Cevher, Quoc Dinh et al.
Accelerated Stochastic Gradient Method for Composite Regularization
Wenliang Zhong, James Kwok
Accelerating ABC methods using Gaussian processes
Richard Wilkinson
Active Area Search via Bayesian Quadrature
Yifei Ma, Roman Garnett, Jeff Schneider
Active Boundary Annotation using Random MAP Perturbations
Subhransu Maji, Tamir Hazan, Tommi Jaakkola
Active Learning for Undirected Graphical Model Selection
Divyanshu Vats, Robert Nowak, Richard Baraniuk