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Bayesian Optimization

221 papers

Papers per year

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Papers

On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning AISTATS 2014
Optimality of Thompson Sampling for Gaussian Bandits Depends on Priors AISTATS 2014
Prior-free and prior-dependent regret bounds for Thompson Sampling NIPS 2013
Bayesian Mixture Modelling and Inference based Thompson Sampling in Monte-Carlo Tree Search NIPS 2013
High-Dimensional Gaussian Process Bandits NIPS 2013
Optimizing Instructional Policies NIPS 2013
Thompson Sampling for 1-Dimensional Exponential Family Bandits NIPS 2013
Multi-Task Bayesian Optimization NIPS 2013
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search NIPS 2012
Multiplicative Forests for Continuous-Time Processes NIPS 2012
Predicting response time and error rates in visual search NIPS 2011
Information Rates and Optimal Decoding in Large Neural Populations NIPS 2011
Contextual Gaussian Process Bandit Optimization NIPS 2011
Batch Bayesian Optimization via Simulation Matching NIPS 2010
Adaptive Design Optimization in Experiments with People NIPS 2009
The Infinite Partially Observable Markov Decision Process NIPS 2009
Structure Learning in Human Sequential Decision-Making NIPS 2008
Optimal Response Initiation: Why Recent Experience Matters NIPS 2008
Psychiatry: Insights into depression through normative decision-making models NIPS 2008
Bayesian Policy Learning with Trans-Dimensional MCMC NIPS 2007
Bayes-Adaptive POMDPs NIPS 2007