conftrace_

black-box function

31 papers

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Co-occurring keywords

bayesian optimization (624) gaussian process (1200) black-box optimization (183) acquisition function (129) global optimization (151) regret bound (1926) active learning (1301) information gain (93) surrogate model (181) cumulative regret (39)

Papers

This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization NIPS 2024
Batched Energy-Entropy acquisition for Bayesian Optimization NIPS 2024
Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization AAAI 2024
Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation AAAI 2024
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes NIPS 2024
Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization NIPS 2024
Transition Constrained Bayesian Optimization via Markov Decision Processes NIPS 2024
Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques NIPS 2024
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources AISTATS 2023
Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes AISTATS 2023
Constrained Efficient Global Optimization of Expensive Black-box Functions ICML 2023
Bayesian Optimization under Stochastic Delayed Feedback ICML 2022
Global Optimization Networks ICML 2022
Combining Constraint Solving and Bayesian Techniques for System Optimization IJCAI 2022
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces NIPS 2022
Combinatorial Bayesian optimization with random mapping functions to convex polytopes UAI 2022
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization AISTATS 2022
Bayesian Optimization for Distributionally Robust Chance-constrained Problem ICML 2022
Scalable Constrained Bayesian Optimization AISTATS 2021
Collaborative Bayesian Optimization with Fair Regret ICML 2021
Active Learning for Distributionally Robust Level-Set Estimation ICML 2021
Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs NIPS 2021
Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces NIPS 2020
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework AAAI 2020
Active Change-Point Detection ACML 2019