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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

Value-at-Risk Optimization with Gaussian Processes ICML 2021
Enabling long-range exploration in minimization of multimodal functions UAI 2021
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information ICML 2021
A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization ICML 2021
Amortized Bayesian Optimization over Discrete Spaces UAI 2020
Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks ICML 2020
Explicit Gradient Learning for Black-Box Optimization ICML 2020
Federated Bayesian Optimization via Thompson Sampling NIPS 2020
Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining NIPS 2020
Black-Box Optimization with Local Generative Surrogates NIPS 2020
Self-Guided Evolution Strategies with Historical Estimated Gradients IJCAI 2020
Projective Preferential Bayesian Optimization ICML 2020
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search NIPS 2020
Safe non-smooth black-box optimization with application to policy search L4DC 2020
Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds AAAI 2020
Multi-Fidelity Black-Box Optimization for Time-Optimal Quadrotor Maneuvers RSS 2020
Knowing The What But Not The Where in Bayesian Optimization ICML 2020
Optimizing Black-box Metrics with Adaptive Surrogates ICML 2020
An ADMM Based Framework for AutoML Pipeline Configuration AAAI 2020
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization AAAI 2020
Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization ICML 2020
Distributionally Robust Bayesian Quadrature Optimization AISTATS 2020
Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution AAAI 2020
MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement ICML 2019
Bayesian Functional Optimisation with Shape Prior AAAI 2019