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Bayesian Optimization

102 directly classified papers

Papers per year

Papers

Are Random Decompositions all we need in High Dimensional Bayesian Optimisation? ICML 2023
Optimistic Tree Searches for Combinatorial Black-Box Optimization NIPS 2022
SnAKe: Bayesian Optimization with Pathwise Exploration NIPS 2022
Bayesian Optimisation for Active Monitoring of Air Pollution AAAI 2022
Modeling the Machine Learning Multiverse NIPS 2022
Gaussian Process Bandits with Aggregated Feedback AAAI 2022
Pareto Set Learning for Expensive Multi-Objective Optimization NIPS 2022
Regret Bounds for Information-Directed Reinforcement Learning NIPS 2022
Triangulation candidates for Bayesian optimization NIPS 2022
Fourier Representations for Black-Box Optimization over Categorical Variables AAAI 2022
Giga-scale Kernel Matrix-Vector Multiplication on GPU NIPS 2022
Bayesian Optimization under Stochastic Delayed Feedback ICML 2022
Joint Entropy Search For Maximally-Informed Bayesian Optimization NIPS 2022
Sequential and Parallel Constrained Max-value Entropy Search via Information Lower Bound ICML 2022
Top Two Algorithms Revisited NIPS 2022
Adaptive Gating for Single-Photon 3D Imaging CVPR 2022
SIXO: Smoothing Inference with Twisted Objectives NIPS 2022
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization NIPS 2022
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces NIPS 2022
Local policy search with Bayesian optimization NIPS 2021
High Dimensional Level Set Estimation with Bayesian Neural Network AAAI 2021
Active Offline Policy Selection NIPS 2021
Top-k Ranking Bayesian Optimization AAAI 2021
A Bayesian Approach for Subset Selection in Contextual Bandits AAAI 2021
An Information-Theoretic Framework for Unifying Active Learning Problems AAAI 2021