Papers
Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions
Yasin Abbasi Yadkori, Peter L Bartlett, Varun Kanade et al.
Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis
James R Voss, Luis Rademacher, Mikhail Belkin
Learning the Local Statistics of Optical Flow
Dan Rosenbaum, Daniel Zoran, Yair Weiss
Robust Low Rank Kernel Embeddings of Multivariate Distributions
Le Song, Bo Dai
Causal Inference on Time Series using Restricted Structural Equation Models
Jonas Peters, Dominik Janzing, Bernhard Schölkopf
Robust learning of low-dimensional dynamics from large neural ensembles
David Pfau, Eftychios A Pnevmatikakis, Liam Paninski
Efficient Optimization for Sparse Gaussian Process Regression
Yanshuai Cao, Marcus A Brubaker, David J Fleet et al.
Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation
Martin Azizyan, Aarti Singh, Larry Wasserman
Factorized Asymptotic Bayesian Inference for Latent Feature Models
Kohei Hayashi, Ryohei Fujimaki
On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations
Tamir Hazan, Subhransu Maji, Tommi Jaakkola
On Poisson Graphical Models
Eunho Yang, Pradeep K Ravikumar, Genevera I Allen et al.
Buy-in-Bulk Active Learning
Liu Yang, Jaime Carbonell
Efficient Algorithm for Privately Releasing Smooth Queries
Ziteng Wang, Kai Fan, Jiaqi Zhang et al.
Eluder Dimension and the Sample Complexity of Optimistic Exploration
Daniel Russo, Benjamin Van Roy
On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization
Ke Hou, Zirui Zhou, Anthony Man-Cho So et al.
Restricting exchangeable nonparametric distributions
Sinead A Williamson, Steve N MacEachern, Eric P Xing
Auditing: Active Learning with Outcome-Dependent Query Costs
Sivan Sabato, Anand D Sarwate, Nati Srebro
Solving the multi-way matching problem by permutation synchronization
Deepti Pachauri, Risi Kondor, Vikas Singh
A message-passing algorithm for multi-agent trajectory planning
José Bento, Nate Derbinsky, Javier Alonso-Mora et al.
New Subsampling Algorithms for Fast Least Squares Regression
Paramveer Dhillon, Yichao Lu, Dean P. Foster et al.
Manifold-based Similarity Adaptation for Label Propagation
Masayuki Karasuyama, Hiroshi Mamitsuka