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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

Conditioning by adaptive sampling for robust design ICML 2019
Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective AISTATS 2019
Trust Region Evolution Strategies AAAI 2019
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization NIPS 2019
Offline Contextual Bayesian Optimization NIPS 2019
$\mathcal{X}$-Armed Bandits: Optimizing Quantiles, CVaR and Other Risks ACML 2019
ADMMBO: Bayesian Optimization with Unknown Constraints using ADMM JMLR 2019
Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning NIPS 2019
Scalable Global Optimization via Local Bayesian Optimization NIPS 2019
Noisy Blackbox Optimization using Multi-fidelity Queries: A Tree Search Approach AISTATS 2019
Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation NIPS 2018
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization NIPS 2018
Multi-Fidelity Black-Box Optimization with Hierarchical Partitions ICML 2018
Max-value Entropy Search for Efficient Bayesian Optimization ICML 2017
Learning to Learn without Gradient Descent by Gradient Descent ICML 2017
A Covariance Matrix Adaptation Evolution Strategy for Direct Policy Search in Reproducing Kernel Hilbert Space ACML 2017
Discovering and Exploiting Additive Structure for Bayesian Optimization AISTATS 2017
Task-based End-to-end Model Learning in Stochastic Optimization NIPS 2017
Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles JMLR 2017
Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations NIPS 2016
Black-box Optimization with a Politician ICML 2016
Optimal Black-Box Reductions Between Optimization Objectives NIPS 2016
Learning Using Anti-Training with Sacrificial Data JMLR 2016
Black-Box Policy Search with Probabilistic Programs AISTATS 2016
A General Framework for Constrained Bayesian Optimization using Information-based Search JMLR 2016