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Bayesian Optimization

221 papers

Papers per year

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Papers

Pareto Set Learning for Expensive Multi-Objective Optimization NIPS 2022
Generalizing Bayesian Optimization with Decision-theoretic Entropies NIPS 2022
Top Two Algorithms Revisited NIPS 2022
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems NIPS 2022
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization NIPS 2022
Regret Bounds for Information-Directed Reinforcement Learning NIPS 2022
Optimistic Tree Searches for Combinatorial Black-Box Optimization NIPS 2022
Local Latent Space Bayesian Optimization over Structured Inputs NIPS 2022
SnAKe: Bayesian Optimization with Pathwise Exploration NIPS 2022
Triangulation candidates for Bayesian optimization NIPS 2022
SIXO: Smoothing Inference with Twisted Objectives NIPS 2022
Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport NIPS 2022
Bayesian Optimization over Permutation Spaces AAAI 2022
Gaussian Process Bandits with Aggregated Feedback AAAI 2022
Fourier Representations for Black-Box Optimization over Categorical Variables AAAI 2022
Bayesian Optimisation for Active Monitoring of Air Pollution AAAI 2022
Adaptive Gating for Single-Photon 3D Imaging CVPR 2022
Sequential and Parallel Constrained Max-value Entropy Search via Information Lower Bound ICML 2022
Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity ICML 2022
Bayesian Optimization under Stochastic Delayed Feedback ICML 2022
Bayesian Optimization of Function Networks NIPS 2021
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL NIPS 2021
Information Directed Sampling for Sparse Linear Bandits NIPS 2021
Bayesian Optimization with High-Dimensional Outputs NIPS 2021
Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs NIPS 2021