bayesian optimization

Adaptive Sampling for Estimating Distributions: A Bayesian Upper Confidence Bound Approach L4DC 2021 A Deep and Recurrent Architecture for Primate Vocalization Classification Interspeech 2021 A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance NeurIPS 2021 Adversarial Attacks on Graph Classifiers via Bayesian Optimisation NeurIPS 2021 An Empirical Study of Bayesian Optimization: Acquisition Versus Partition JMLR 2021 An Information-Theoretic Framework for Unifying Active Learning Problems AAAI 2021 A Nonmyopic Approach to Cost-Constrained Bayesian Optimization UAI 2021 Are We Forgetting about Compositional Optimisers in Bayesian Optimisation? JMLR 2021 Asynchronous $ε$-Greedy Bayesian Optimisation UAI 2021 AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly ICLR 2021 BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search AAAI 2021 Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks NeurIPS 2021 Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information ICML 2021 Bayesian Optimistic Optimisation with Exponentially Decaying Regret ICML 2021 Bayesian optimization for modular black-box systems with switching costs UAI 2021 Bayesian Optimization of Function Networks NeurIPS 2021 Bayesian Optimization over Hybrid Spaces ICML 2021 Bayesian Optimization with High-Dimensional Outputs NeurIPS 2021 Bayesian Optimized Monte Carlo Planning AAAI 2021 Bias-Robust Bayesian Optimization via Dueling Bandits ICML 2021 BORE: Bayesian Optimization by Density-Ratio Estimation ICML 2021 Cautious Bayesian Optimization for Efficient and Scalable Policy Search L4DC 2021 Collaborative Bayesian Optimization with Fair Regret ICML 2021 Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces NeurIPS 2021 Communication Efficient SGD via Gradient Sampling With Bayes Prior CVPR 2021