zeroth-order optimization

Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization AISTATS 2022 Zeroth-Order Optimization for Composite Problems with Functional Constraints AAAI 2022 A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization ICML 2021 Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity JMLR 2021 Don’t Search for a Search Method — Simple Heuristics Suffice for Adversarial Text Attacks EMNLP 2021 Dueling Convex Optimization ICML 2021 Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization AAAI 2021 High Probability Complexity Bounds for Line Search Based on Stochastic Oracles NeurIPS 2021 Improved Regret for Zeroth-Order Stochastic Convex Bandits COLT 2021 Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates NeurIPS 2021 MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation CVPR 2021 On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms NeurIPS 2021 Optimal Cost Design for Model Predictive Control L4DC 2021 Optimal Gradient-based Algorithms for Non-concave Bandit Optimization NeurIPS 2021 Reinforcement Learning Based Sparse Black-box Adversarial Attack on Video Recognition Models IJCAI 2021 Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging ICML 2021 Accelerated Stochastic Gradient-free and Projection-free Methods ICML 2020 Distributionally Robust Bayesian Optimization AISTATS 2020 Gradientless Descent: High-Dimensional Zeroth-Order Optimization ICLR 2020 Learning the Globally Optimal Distributed LQ Regulator L4DC 2020 Learning to Learn by Zeroth-Order Oracle ICLR 2020 Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks ICML 2020 Sign-OPT: A Query-Efficient Hard-label Adversarial Attack ICLR 2020 Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent AAAI 2020 Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources ICML 2020