Bayesian Optimization

Meta-Learning for Simple Regret Minimization AAAI 2023 Model-based Causal Bayesian Optimization ICLR 2023 Multi-armed bandits for resource efficient, online optimization of language model pre-training: the use case of dynamic masking ACL 2023 Multi-Fidelity Bayesian Optimization with Unreliable Information Sources AISTATS 2023 Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization NeurIPS 2023 Noise-Adaptive Thompson Sampling for Linear Contextual Bandits NeurIPS 2023 On the Sublinear Regret of GP-UCB NeurIPS 2023 PROTES: Probabilistic Optimization with Tensor Sampling NeurIPS 2023 Transfer NAS with Meta-learned Bayesian Surrogates ICLR 2023 Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction CVPR 2023 “Why Not Looking backward?” A Robust Two-Step Method to Automatically Terminate Bayesian Optimization NeurIPS 2023 Adaptive Gating for Single-Photon 3D Imaging CVPR 2022 An Experimental Design Perspective on Model-Based Reinforcement Learning ICLR 2022 A Simple Approach to Automated Spectral Clustering NeurIPS 2022 Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel NeurIPS 2022 Bayesian Optimisation for Active Monitoring of Air Pollution AAAI 2022 Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning NeurIPS 2022 Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization NeurIPS 2022 Bayesian Optimization over Permutation Spaces AAAI 2022 Bayesian Optimization under Stochastic Delayed Feedback ICML 2022 Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity ICML 2022 Fourier Representations for Black-Box Optimization over Categorical Variables AAAI 2022 Gaussian Process Bandits with Aggregated Feedback AAAI 2022 Generalizing Bayesian Optimization with Decision-theoretic Entropies NeurIPS 2022 Giga-scale Kernel Matrix-Vector Multiplication on GPU NeurIPS 2022