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Bayesian Optimization

122 directly classified papers

Papers per year

Papers

An Empirical Bayes Approach to Optimizing Machine Learning Algorithms NIPS 2017
Learning to select data for transfer learning with Bayesian Optimization EMNLP 2017
High Dimensional Bayesian Optimization using Dropout IJCAI 2017
Efficient Automatic Perception System Parameter Tuning On Site without Expert Supervision CORL 2017
Deep Kernels for Optimizing Locomotion Controllers CORL 2017
Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach NIPS 2016
Threshold Learning for Optimal Decision Making NIPS 2016
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation NIPS 2016
Predictive Entropy Search for Multi-objective Bayesian Optimization ICML 2016
Bayesian optimization for automated model selection NIPS 2016
A General Framework for Constrained Bayesian Optimization using Information-based Search JMLR 2016
Predictive Entropy Search for Bayesian Optimization with Unknown Constraints ICML 2015
Improving Object Detection With Deep Convolutional Networks via Bayesian Optimization and Structured Prediction CVPR 2015
Probabilistic Line Searches for Stochastic Optimization NIPS 2015
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
High-Dimensional Gaussian Process Bandits NIPS 2013
Multi-Task Bayesian Optimization NIPS 2013
Optimizing Instructional Policies NIPS 2013
Contextual Gaussian Process Bandit Optimization NIPS 2011
Batch Bayesian Optimization via Simulation Matching NIPS 2010
Adaptive Design Optimization in Experiments with People NIPS 2009