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black-box optimization

182 papers

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Also known as

BBOB BBO

Co-occurring keywords

bayesian optimization (623) gaussian process (1198) zeroth-order optimization (101) regret bound (1918) surrogate model (181) large language model (12755) acquisition function (129) reinforcement learning (4122) hyperparameter optimization (405) adversarial attack (1599)

Papers

Bayesian Optimisation of Functions on Graphs NIPS 2023
A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets AISTATS 2023
Self-Adjusting Weighted Expected Improvement for Bayesian Optimization AUTOML 2023
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts AUTOML 2023
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization AUTOML 2023
Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection AUTOML 2023
Procrastinated Tree Search: Black-Box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback AAAI 2022
Optimistic Tree Searches for Combinatorial Black-Box Optimization NIPS 2022
Monte Carlo Tree Descent for Black-Box Optimization NIPS 2022
Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity NIPS 2022
Predicting the utility of search spaces for black-box optimization: a simple, budget-aware approach AISTATS 2022
Local Bayesian optimization via maximizing probability of descent NIPS 2022
Black-Box Tuning for Language-Model-as-a-Service ICML 2022
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization NIPS 2022
Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times ICML 2022
UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees ICML 2022
Constrained Discrete Black-Box Optimization using Mixed-Integer Programming ICML 2022
Bidirectional Learning for Offline Infinite-width Model-based Optimization NIPS 2022
A General Recipe for Likelihood-free Bayesian Optimization ICML 2022
Open Problem: Regret Bounds for Noise-Free Kernel-Based Bandits COLT 2022
The power of first-order smooth optimization for black-box non-smooth problems ICML 2022
Dimensionality Reduction and Prioritized Exploration for Policy Search AISTATS 2022
Bayesian Optimization under Stochastic Delayed Feedback ICML 2022
Gaussian Process Bandit Optimization with Few Batches AISTATS 2022
Deep Black-Box Reinforcement Learning with Movement Primitives CORL 2022