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Bayesian Optimization

284 papers

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Papers

Provable Posterior Sampling with Denoising Oracles via Tilted Transport NeurIPS 2024 Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning NeurIPS 2024 Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization ICLR 2024 Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum AISTATS 2024 Robust Entropy Search for Safe Efficient Bayesian Optimization UAI 2024 Robust Gaussian Processes via Relevance Pursuit NeurIPS 2024 Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel NeurIPS 2024 Sample-efficient Bayesian Optimisation Using Known Invariances NeurIPS 2024 This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization NeurIPS 2024 Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox NeurIPS 2024 Transition Constrained Bayesian Optimization via Markov Decision Processes NeurIPS 2024 A Corrected Expected Improvement Acquisition Function Under Noisy Observations ACML 2023 Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee ACML 2023 Advancing Bayesian Optimization via Learning Correlated Latent Space NeurIPS 2023 Are Random Decompositions all we need in High Dimensional Bayesian Optimisation? ICML 2023 Batch Bayesian Optimization For Replicable Experimental Design NeurIPS 2023 Bayesian Optimization-Based Combinatorial Assignment AAAI 2023 Code-Aware Cross-Program Transfer Hyperparameter Optimization AAAI 2023 Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars NeurIPS 2023 Contextual Gaussian Process Bandits with Neural Networks NeurIPS 2023 Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits AAAI 2023 Failure-Aware Gaussian Process Optimization with Regret Bounds NeurIPS 2023 Gray-Box Gaussian Processes for Automated Reinforcement Learning ICLR 2023 High-Dimensional Dueling Optimization with Preference Embedding AAAI 2023 Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation ICML 2023