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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

Analytically Tractable Hidden-States Inference in Bayesian Neural Networks JMLR 2022
Zeroth-Order Optimization for Composite Problems with Functional Constraints AAAI 2022
Sparse-RS: A Versatile Framework for Query-Efficient Sparse Black-Box Adversarial Attacks AAAI 2022
Optimal Design of Stochastic DNA Synthesis Protocols based on Generative Sequence Models AISTATS 2022
SnAKe: Bayesian Optimization with Pathwise Exploration NIPS 2022
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization ICML 2022
Fourier Representations for Black-Box Optimization over Categorical Variables AAAI 2022
Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates NIPS 2021
Learning Space Partitions for Path Planning NIPS 2021
Improving black-box optimization in VAE latent space using decoder uncertainty NIPS 2021
On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms NIPS 2021
Dichotomous Optimistic Search to Quantify Human Perception ICML 2021
Conservative Objective Models for Effective Offline Model-Based Optimization ICML 2021
Tool- and Domain-Agnostic Parameterization of Style Transfer Effects Leveraging Pretrained Perceptual Metrics IJCAI 2021
With Measured Words: Simple Sentence Selection for Black-Box Optimization of Sentence Compression Algorithms EACL 2021
Choosing the Right Algorithm With Hints From Complexity Theory IJCAI 2021
High-Dimensional Bayesian Optimization via Tree-Structured Additive Models AAAI 2021
On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization ICML 2021
Warm Starting CMA-ES for Hyperparameter Optimization AAAI 2021
MetricOpt: Learning To Optimize Black-Box Evaluation Metrics CVPR 2021
Optimizing Conditional Value-At-Risk of Black-Box Functions NIPS 2021
An Empirical Study of Bayesian Optimization: Acquisition Versus Partition JMLR 2021
Optimizing Black-box Metrics with Iterative Example Weighting ICML 2021
Adaptive Experimental Design for Optimizing Combinatorial Structures IJCAI 2021
Optimising Automatic Calibration of Electric Muscle Stimulation AAAI 2021