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Bayesian Optimization

221 papers

Papers per year

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Papers

Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning NIPS 2024
Provable Posterior Sampling with Denoising Oracles via Tilted Transport NIPS 2024
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal NIPS 2024
Transition Constrained Bayesian Optimization via Markov Decision Processes NIPS 2024
Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox NIPS 2024
Batched Energy-Entropy acquisition for Bayesian Optimization NIPS 2024
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel NIPS 2024
Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization AAAI 2024
On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design AAAI 2024
Grey-Box Bayesian Optimization for Sensor Placement in Assisted Living Environments AAAI 2024
Graph Bayesian Optimization for Multiplex Influence Maximization AAAI 2024
Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization AAAI 2024
Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach AISTATS 2024
Looping in the Human: Collaborative and Explainable Bayesian Optimization AISTATS 2024
Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum AISTATS 2024
No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints AISTATS 2024
Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty AISTATS 2024
Efficient Hyperparameter Optimization with Adaptive Fidelity Identification CVPR 2024
MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference Calibration EMNLP 2024
PROTES: Probabilistic Optimization with Tensor Sampling NIPS 2023
Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars NIPS 2023
Noise-Adaptive Thompson Sampling for Linear Contextual Bandits NIPS 2023
Failure-Aware Gaussian Process Optimization with Regret Bounds NIPS 2023
Contextual Gaussian Process Bandits with Neural Networks NIPS 2023
On the Sublinear Regret of GP-UCB NIPS 2023