bayesian optimization

Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization ICML 2022 Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs JMLR 2022 Real-Time Generation of Time-Optimal Quadrotor Trajectories with Semi-Supervised Seq2Seq Learning CoRL 2022 Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization AISTATS 2022 Rethinking Optimization with Differentiable Simulation from a Global Perspective CoRL 2022 Revisiting Design Choices in Offline Model Based Reinforcement Learning ICLR 2022 Robust Multi-Objective Bayesian Optimization Under Input Noise ICML 2022 Sample-Then-Optimize Batch Neural Thompson Sampling NeurIPS 2022 Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation ICML 2022 Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times ICML 2022 Sequence Approximation using Feedforward Spiking Neural Network for Spatiotemporal Learning: Theory and Optimization Methods ICLR 2022 Sequential and Parallel Constrained Max-value Entropy Search via Information Lower Bound ICML 2022 SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization JMLR 2022 SnAKe: Bayesian Optimization with Pathwise Exploration NeurIPS 2022 Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty ICML 2022 Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport NeurIPS 2022 Supervising the Multi-Fidelity Race of Hyperparameter Configurations NeurIPS 2022 Transfer Learning with Gaussian Processes for Bayesian Optimization AISTATS 2022 Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling ICML 2022 Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces NeurIPS 2022 Triangulation candidates for Bayesian optimization NeurIPS 2022 Uncertainty Quantification for Bayesian Optimization AISTATS 2022 A Bayesian Approach for Subset Selection in Contextual Bandits AAAI 2021 Active Offline Policy Selection NeurIPS 2021 Adaptive Experimental Design for Optimizing Combinatorial Structures IJCAI 2021