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Bayesian Optimization

221 papers

Papers per year

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Papers

Efficient Automatic Perception System Parameter Tuning On Site without Expert Supervision CORL 2017
Learning to select data for transfer learning with Bayesian Optimization EMNLP 2017
High Dimensional Bayesian Optimization using Dropout IJCAI 2017
Learning under uncertainty: a comparison between R-W and Bayesian approach NIPS 2016
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization NIPS 2016
Bayesian optimization for automated model selection NIPS 2016
Optimistic Gittins Indices NIPS 2016
Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach NIPS 2016
Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations NIPS 2016
Poisson-Gamma dynamical systems NIPS 2016
Threshold Learning for Optimal Decision Making NIPS 2016
Double Thompson Sampling for Dueling Bandits NIPS 2016
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation NIPS 2016
Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition NIPS 2016
Predictive Entropy Search for Multi-objective Bayesian Optimization ICML 2016
A General Framework for Constrained Bayesian Optimization using Information-based Search JMLR 2016
The Human Kernel NIPS 2015
Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions NIPS 2015
Probabilistic Line Searches for Stochastic Optimization NIPS 2015
Black-box optimization of noisy functions with unknown smoothness NIPS 2015
Improving Object Detection With Deep Convolutional Networks via Bayesian Optimization and Structured Prediction CVPR 2015
Differentially Private Bayesian Optimization ICML 2015
Predictive Entropy Search for Bayesian Optimization with Unknown Constraints ICML 2015
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions NIPS 2014
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models NIPS 2014