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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

Scalable Thompson Sampling using Sparse Gaussian Process Models NIPS 2021
Kernel Functional Optimisation NIPS 2021
Optimizing Conditional Value-At-Risk of Black-Box Functions NIPS 2021
Misspecified Gaussian Process Bandit Optimization NIPS 2021
Explaining Hyperparameter Optimization via Partial Dependence Plots NIPS 2021
NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration CVPR 2021
Local Differential Privacy for Bayesian Optimization AAAI 2021
A Bayesian Approach for Subset Selection in Contextual Bandits AAAI 2021
Predictive Job Scheduling under Uncertain Constraints in Cloud Computing IJCAI 2021
An Empirical Study of Bayesian Optimization: Acquisition Versus Partition JMLR 2021
Are We Forgetting about Compositional Optimisers in Bayesian Optimisation? JMLR 2021
Hyperparameter Transfer Learning with Adaptive Complexity AISTATS 2021
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance NIPS 2021
Toward Optimal Solution for the Context-Attentive Bandit Problem IJCAI 2021
Regret Bounds for Gaussian-Process Optimization in Large Domains NIPS 2021
Mixed variable Bayesian optimization with frequency modulated kernels UAI 2021
Asynchronous $ε$-Greedy Bayesian Optimisation UAI 2021
Bayesian Optimized Monte Carlo Planning AAAI 2021
Active Offline Policy Selection NIPS 2021
High-dimensional Bayesian optimization with sparse axis-aligned subspaces UAI 2021
Constrained Two-step Look-Ahead Bayesian Optimization NIPS 2021
Nonmyopic Multifidelity Acitve Search ICML 2021
Bayesian Optimization with High-Dimensional Outputs NIPS 2021
Kernel Interpolation for Scalable Online Gaussian Processes AISTATS 2021
Conditioning Sparse Variational Gaussian Processes for Online Decision-making NIPS 2021