Artificial Intelligence

Nonparametric Tree Graphical Models AISTATS 2010 Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification NeurIPS 2010 Occlusion Detection and Motion Estimation with Convex Optimization NeurIPS 2010 On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient NeurIPS 2010 On Combining Graph-based Variance Reduction schemes AISTATS 2010 Online Markov Decision Processes under Bandit Feedback NeurIPS 2010 On motion and force controllability of grasping hands with postural synergies RSS 2010 On Spectral Learning JMLR 2010 Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets NeurIPS 2010 Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure JMLR 2010 Over-complete representations on recurrent neural networks can support persistent percepts NeurIPS 2010 PAC-Bayesian Model Selection for Reinforcement Learning NeurIPS 2010 Parallelizable Sampling of Markov Random Fields AISTATS 2010 Parametric Bandits: The Generalized Linear Case NeurIPS 2010 PLISS: Detecting and Labeling Places Using Online Change-Point Detection RSS 2010 Policy gradients in linearly-solvable MDPs NeurIPS 2010 Posterior Regularization for Structured Latent Variable Models JMLR 2010 Probabilistic Belief Revision with Structural Constraints NeurIPS 2010 Probabilistic Deterministic Infinite Automata NeurIPS 2010 Probabilistic Inference and Differential Privacy NeurIPS 2010 Probabilistic Lane Estimation using Basis Curves RSS 2010 Probabilistic latent variable models for distinguishing between cause and effect NeurIPS 2010 Probabilistic Multi-Task Feature Selection NeurIPS 2010 Random Walk Approach to Regret Minimization NeurIPS 2010 Real-time Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries AISTATS 2010