Artificial Intelligence

Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning NeurIPS 2011 PiCoDes: Learning a Compact Code for Novel-Category Recognition NeurIPS 2011 Policy Gradient Coagent Networks NeurIPS 2011 Polytope samplers for inference in ill-posed inverse problems AISTATS 2011 Portmanteau Vocabularies for Multi-Cue Image Representation NeurIPS 2011 Practical Variational Inference for Neural Networks NeurIPS 2011 Predicting Dynamic Difficulty NeurIPS 2011 Predicting response time and error rates in visual search NeurIPS 2011 Priors over Recurrent Continuous Time Processes NeurIPS 2011 Probabilistic amplitude and frequency demodulation NeurIPS 2011 Probabilistic Analysis of Correctness of High-Level Robot Behavior with Sensor Error RSS 2011 Probabilistic Joint Image Segmentation and Labeling NeurIPS 2011 Probabilistic Modeling of Dependencies Among Visual Short-Term Memory Representations NeurIPS 2011 Producing Power-Law Distributions and Damping Word Frequencies with Two-Stage Language Models JMLR 2011 Quasi-Newton Methods for Markov Chain Monte Carlo NeurIPS 2011 Query-Aware MCMC NeurIPS 2011 Rapid Deformable Object Detection using Dual-Tree Branch-and-Bound NeurIPS 2011 Real-time prioritized kinematic control under inequality constraints for redundant manipulators RSS 2011 Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance NeurIPS 2011 Regret Bounds for the Adaptive Control of Linear Quadratic Systems COLT 2011 Relative Density-Ratio Estimation for Robust Distribution Comparison NeurIPS 2011 Robust approachability and regret minimization in games with partial monitoring COLT 2011 Robust Multi-Class Gaussian Process Classification NeurIPS 2011 Sample Complexity Bounds for Differentially Private Learning COLT 2011 Select and Sample - A Model of Efficient Neural Inference and Learning NeurIPS 2011