Decision Making

Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets NeurIPS 2010 Parametric Bandits: The Generalized Linear Case NeurIPS 2010 Reward Design via Online Gradient Ascent NeurIPS 2010 The Neural Costs of Optimal Control NeurIPS 2010 A Data-Driven Approach to Modeling Choice NeurIPS 2009 Breaking Boundaries Between Induction Time and Diagnosis Time Active Information Acquisition NeurIPS 2009 Directed Regression NeurIPS 2009 Distribution-Calibrated Hierarchical Classification NeurIPS 2009 Improving Existing Fault Recovery Policies NeurIPS 2009 Noisy Generalized Binary Search NeurIPS 2009 Adapting to a Market Shock: Optimal Sequential Market-Making NeurIPS 2008 A rational model of preference learning and choice prediction by children NeurIPS 2008 Bayesian Model of Behaviour in Economic Games NeurIPS 2008 Goal-directed decision making in prefrontal cortex: a computational framework NeurIPS 2008 MDPs with Non-Deterministic Policies NeurIPS 2008 Optimal Response Initiation: Why Recent Experience Matters NeurIPS 2008 Psychiatry: Insights into depression through normative decision-making models NeurIPS 2008 Sequential effects: Superstition or rational behavior? NeurIPS 2008 Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning NeurIPS 2008 Active Preference Learning with Discrete Choice Data NeurIPS 2007 Bayes-Adaptive POMDPs NeurIPS 2007 Competition Adds Complexity NeurIPS 2007 Scan Strategies for Meteorological Radars NeurIPS 2007 Sequential Hypothesis Testing under Stochastic Deadlines NeurIPS 2007 Structured Learning with Approximate Inference NeurIPS 2007