Papers
PAC-Bayesian Model Selection for Reinforcement Learning
Mahdi M. Fard, Joelle Pineau
Error Propagation for Approximate Policy and Value Iteration
Amir-massoud Farahmand, Csaba Szepesvári, Rémi Munos
Subgraph Detection Using Eigenvector L1 Norms
Benjamin Miller, Nadya Bliss, Patrick J. Wolfe
Scrambled Objects for Least-Squares Regression
Odalric Maillard, Rémi Munos
Improving Human Judgments by Decontaminating Sequential Dependencies
Michael Mozer, Harold Pashler, Matthew Wilder et al.
Feature Set Embedding for Incomplete Data
David Grangier, Iain Melvin
Extensions of Generalized Binary Search to Group Identification and Exponential Costs
Gowtham Bellala, Suresh Bhavnani, Clayton Scott
A Reduction from Apprenticeship Learning to Classification
Umar Syed, Robert E. Schapire
Learning Bounds for Importance Weighting
Corinna Cortes, Yishay Mansour, Mehryar Mohri
Causal discovery in multiple models from different experiments
Tom Claassen, Tom Heskes
Estimation of Rényi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs
Dávid Pál, Barnabás Póczos, Csaba Szepesvári
Gated Softmax Classification
Roland Memisevic, Christopher Zach, Marc Pollefeys et al.
Semi-Supervised Learning with Adversarially Missing Label Information
Umar Syed, Ben Taskar
Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets
Paolo Viappiani, Craig Boutilier
Active Learning by Querying Informative and Representative Examples
Sheng-jun Huang, Rong Jin, Zhi-Hua Zhou
Network Flow Algorithms for Structured Sparsity
Julien Mairal, Rodolphe Jenatton, Francis R. Bach et al.
Learning Multiple Tasks with a Sparse Matrix-Normal Penalty
Yi Zhang, Jeff G. Schneider
Worst-Case Linear Discriminant Analysis
Yu Zhang, Dit-Yan Yeung
Universal Kernels on Non-Standard Input Spaces
Andreas Christmann, Ingo Steinwart
Efficient Optimization for Discriminative Latent Class Models
Armand Joulin, Jean Ponce, Francis R. Bach
Slice sampling covariance hyperparameters of latent Gaussian models
Iain Murray, Ryan P. Adams
Optimal Web-Scale Tiering as a Flow Problem
Gilbert Leung, Novi Quadrianto, Kostas Tsioutsiouliklis et al.
Structured sparsity-inducing norms through submodular functions
Francis R. Bach
Co-regularization Based Semi-supervised Domain Adaptation
Abhishek Kumar, Avishek Saha, Hal Daume
Bootstrapping Apprenticeship Learning
Abdeslam Boularias, Brahim Chaib-draa