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Bayesian Optimization

100 directly classified papers

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Papers

Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization AAAI 2020
Early-Stopping of Scattering Pattern Observation with Bayesian Modeling AAAI 2019
MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models AAAI 2019
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning CORL 2019
Bayesian Optimization under Heavy-tailed Payoffs NIPS 2019
Practical Two-Step Lookahead Bayesian Optimization NIPS 2019
Scalable Global Optimization via Local Bayesian Optimization NIPS 2019
Multi-objective Bayesian optimisation with preferences over objectives NIPS 2019
Bayesian Functional Optimisation with Shape Prior AAAI 2019
Efficient Neutrino Oscillation Parameter Inference with Gaussian Process AAAI 2019
Optimistic optimization of a Brownian NIPS 2018
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
Multi-Information Source Optimization NIPS 2017
Improving the Expected Improvement Algorithm NIPS 2017
Predictive Entropy Search for Multi-objective Bayesian Optimization ICML 2016
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation NIPS 2016
Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions NIPS 2015
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions NIPS 2014
High-Dimensional Gaussian Process Bandits NIPS 2013
Bayesian optimization explains human active search NIPS 2013
A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function NIPS 2012
Budgeted Optimization with Concurrent Stochastic-Duration Experiments NIPS 2011
Contextual Gaussian Process Bandit Optimization NIPS 2011