conftrace_

bayesian optimization

624 papers

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Also known as

BO BAYESOPT

Co-occurring keywords

gaussian process (1200) acquisition function (129) hyperparameter optimization (406) regret bound (1926) black-box optimization (183) surrogate model (181) hyperparameter tuning (215) multi-objective optimization (364) thompson sampling (237) high-dimensional optimization (53)

Papers

Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization NIPS 2021
Constrained Two-step Look-Ahead Bayesian Optimization NIPS 2021
Bayesian Optimization with High-Dimensional Outputs NIPS 2021
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance NIPS 2021
Scaling Gaussian Processes with Derivative Information Using Variational Inference NIPS 2021
Adversarial Attacks on Graph Classifiers via Bayesian Optimisation NIPS 2021
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces NIPS 2021
Conditioning Sparse Variational Gaussian Processes for Online Decision-making NIPS 2021
Bayesian Optimization of Function Networks NIPS 2021
Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs NIPS 2021
Local policy search with Bayesian optimization NIPS 2021
Counterexample Guided RL Policy Refinement Using Bayesian Optimization NIPS 2021
Active Offline Policy Selection NIPS 2021
Regret Bounds for Gaussian-Process Optimization in Large Domains NIPS 2021
Local Differential Privacy for Bayesian Optimization AAAI 2021
A Bayesian Approach for Subset Selection in Contextual Bandits AAAI 2021
Communication Efficient SGD via Gradient Sampling With Bayes Prior CVPR 2021
Risk-averse Heteroscedastic Bayesian Optimization NIPS 2021
Risk-Averse Bayes-Adaptive Reinforcement Learning NIPS 2021
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement NIPS 2021
Optimal Order Simple Regret for Gaussian Process Bandits NIPS 2021
Cautious Bayesian Optimization for Efficient and Scalable Policy Search L4DC 2021
Safe Bayesian Optimisation for Controller Design by Utilising the Parameter Space Approach L4DC 2021
Multi-objective Bayesian Optimization using Pareto-frontier Entropy ICML 2020
A Quantile-based Approach for Hyperparameter Transfer Learning ICML 2020