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Bayesian Optimization

102 directly classified papers

Papers per year

Papers

Double Thompson Sampling for Dueling Bandits NIPS 2016
Poisson-Gamma dynamical systems NIPS 2016
Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations NIPS 2016
Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach NIPS 2016
Optimistic Gittins Indices NIPS 2016
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization NIPS 2016
Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions NIPS 2015
Black-box optimization of noisy functions with unknown smoothness NIPS 2015
Differentially Private Bayesian Optimization ICML 2015
The Human Kernel NIPS 2015
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models NIPS 2014
Optimality of Thompson Sampling for Gaussian Bandits Depends on Priors AISTATS 2014
On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning AISTATS 2014
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions NIPS 2014
Bayesian Mixture Modelling and Inference based Thompson Sampling in Monte-Carlo Tree Search NIPS 2013
Thompson Sampling for 1-Dimensional Exponential Family Bandits NIPS 2013
Prior-free and prior-dependent regret bounds for Thompson Sampling NIPS 2013
Multiplicative Forests for Continuous-Time Processes NIPS 2012
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search NIPS 2012
Predicting response time and error rates in visual search NIPS 2011
Information Rates and Optimal Decoding in Large Neural Populations NIPS 2011
The Infinite Partially Observable Markov Decision Process NIPS 2009
Optimal Response Initiation: Why Recent Experience Matters NIPS 2008
Psychiatry: Insights into depression through normative decision-making models NIPS 2008
Structure Learning in Human Sequential Decision-Making NIPS 2008