Reasoning

Bayesian Inference for Statistical Abduction Using Markov Chain Monte Carlo ACML 2011 Does an Efficient Calibrated Forecasting Strategy Exist? COLT 2011 Inductive reasoning about chimeric creatures NeurIPS 2011 Learning Rules from Incomplete Examples via Implicit Mention Models ACML 2011 Minimax Algorithm for Learning Rotations COLT 2011 Probabilistic Analysis of Correctness of High-Level Robot Behavior with Sensor Error RSS 2011 Closing the Learning-Planning Loop with Predictive State Representations RSS 2010 Evidence-Specific Structures for Rich Tractable CRFs NeurIPS 2010 Feature Construction for Inverse Reinforcement Learning NeurIPS 2010 Learning to localise sounds with spiking neural networks NeurIPS 2010 More data means less inference: A pseudo-max approach to structured learning NeurIPS 2010 Probabilistic Belief Revision with Structural Constraints NeurIPS 2010 Probabilistic Deterministic Infinite Automata NeurIPS 2010 The Neural Costs of Optimal Control NeurIPS 2010 Beyond Categories: The Visual Memex Model for Reasoning About Object Relationships NeurIPS 2009 Discrete MDL Predicts in Total Variation NeurIPS 2009 Improving the Reliability of Causal Discovery from Small Data Sets Using Argumentation JMLR 2009 POMDPs for robotic tasks with mixed observability RSS 2009 Quantification and the language of thought NeurIPS 2009 The Wisdom of Crowds in the Recollection of Order Information NeurIPS 2009 Goal-directed decision making in prefrontal cortex: a computational framework NeurIPS 2008 SARSOP: Efficient Point-Based POMDP Planning by Approximating Optimally Reachable Belief Spaces RSS 2008 Skill Characterization Based on Betweenness NeurIPS 2008 Temporal Dynamics of Cognitive Control NeurIPS 2008 Using matrices to model symbolic relationship NeurIPS 2008