zero-order optimization

MedSAMix: A Training-Free Model Merging Approach for Medical Image Segmentation AAAI 2026 VALIANT: Prompt Instability for Active Learning in Black-Box Medical Imaging AAAI 2026 DiffECG: Diffusion Model-Powered Label-Efficient and Personalized Arrhythmia Diagnosis IJCAI 2025 VLMInferSlow: Evaluating the Efficiency Robustness of Large Vision-Language Models as a Service ACL 2025 An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization JMLR 2024 Countering the Communication Bottleneck in Federated Learning: A Highly Efficient Zero-Order Optimization Technique JMLR 2024 Federated Black-Box Adaptation for Semantic Segmentation NeurIPS 2024 Gradient-free optimization of highly smooth functions: improved analysis and a new algorithm JMLR 2024 Hard-Label Based Small Query Black-Box Adversarial Attack WACV 2024 Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting AAAI 2024 Large Language Model Unlearning via Embedding-Corrupted Prompts NeurIPS 2024 Safe online convex optimization with multi-point feedback L4DC 2024 A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning NeurIPS 2023 Learning to Learn from APIs: Black-Box Data-Free Meta-Learning ICML 2023 A gradient estimator via L1-randomization for online zero-order optimization with two point feedback NeurIPS 2022 ZARTS: On Zero-order Optimization for Neural Architecture Search NeurIPS 2022 Distributed Zero-Order Optimization under Adversarial Noise NeurIPS 2021 GRAC: Self-Guided and Self-Regularized Actor-Critic CoRL 2021 Risk-Averse Zero-Order Trajectory Optimization CoRL 2021 Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems JMLR 2020 Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach L4DC 2020 Exploiting Higher Order Smoothness in Derivative-free Optimization and Continuous Bandits NeurIPS 2020 Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources ICML 2020 Efficiently avoiding saddle points with zero order methods: No gradients required NeurIPS 2019 An Optimal Algorithm for Bandit and Zero-Order Convex Optimization with Two-Point Feedback JMLR 2017