Artificial Intelligence

On Provably Safe Obstacle Avoidance for Autonomous Robotic Ground Vehicles RSS 2013 On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations NeurIPS 2013 On the Complexity and Approximation of Binary Evidence in Lifted Inference NeurIPS 2013 On the Representational Efficiency of Restricted Boltzmann Machines NeurIPS 2013 On the Sample Complexity of Subspace Learning NeurIPS 2013 Open Problem: Lower bounds for Boosting with Hadamard Matrices COLT 2013 Opportunistic Strategies for Generalized No-Regret Problems COLT 2013 Optimal integration of visual speed across different spatiotemporal frequency channels NeurIPS 2013 Optimal Market-based Multi-Robot Task Allocation via Strategic Pricing RSS 2013 Optimistic Concurrency Control for Distributed Unsupervised Learning NeurIPS 2013 Optimistic policy iteration and natural actor-critic: A unifying view and a non-optimality result NeurIPS 2013 Optimization, Learning, and Games with Predictable Sequences NeurIPS 2013 Optimized Product Quantization for Approximate Nearest Neighbor Search CVPR 2013 Optimizing Instructional Policies NeurIPS 2013 PAC-Bayes-Empirical-Bernstein Inequality NeurIPS 2013 Pairwise Likelihood Ratios for Estimation of Non-Gaussian Structural Equation Models JMLR 2013 Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models ICML 2013 Parallel Sampling of DP Mixture Models using Sub-Cluster Splits NeurIPS 2013 Parametric Task Learning NeurIPS 2013 Parsing IKEA Objects: Fine Pose Estimation ICCV 2013 Part-Based Visual Tracking with Online Latent Structural Learning CVPR 2013 Pass-efficient unsupervised feature selection NeurIPS 2013 Pedestrian Parsing via Deep Decompositional Network ICCV 2013 Perceiving, Learning, and Exploiting Object Affordances for Autonomous Pile Manipulation RSS 2013 Perfect Associative Learning with Spike-Timing-Dependent Plasticity NeurIPS 2013