black-box optimization

Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies ICLR 2022 Local Bayesian optimization via maximizing probability of descent NeurIPS 2022 Monte Carlo Tree Descent for Black-Box Optimization NeurIPS 2022 Open Problem: Regret Bounds for Noise-Free Kernel-Based Bandits COLT 2022 Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization AutoML 2022 Optimal Design of Stochastic DNA Synthesis Protocols based on Generative Sequence Models AISTATS 2022 Optimistic Tree Searches for Combinatorial Black-Box Optimization NeurIPS 2022 Predicting the utility of search spaces for black-box optimization: a simple, budget-aware approach AISTATS 2022 Procrastinated Tree Search: Black-Box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback AAAI 2022 Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times ICML 2022 SnAKe: Bayesian Optimization with Pathwise Exploration NeurIPS 2022 Sparse-RS: A Versatile Framework for Query-Efficient Sparse Black-Box Adversarial Attacks AAAI 2022 The power of first-order smooth optimization for black-box non-smooth problems ICML 2022 Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces NeurIPS 2022 UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees ICML 2022 Unifying Likelihood-free Inference with Black-box Optimization and Beyond ICLR 2022 Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity NeurIPS 2022 Zeroth-Order Optimization for Composite Problems with Functional Constraints AAAI 2022 Adaptive Experimental Design for Optimizing Combinatorial Structures IJCAI 2021 An Empirical Study of Bayesian Optimization: Acquisition Versus Partition JMLR 2021 AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly ICLR 2021 A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization ICML 2021 Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information ICML 2021 Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity JMLR 2021 Choosing the Right Algorithm With Hints From Complexity Theory IJCAI 2021