conftrace_

zero-order optimization

25 papers

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Also known as

ZO ZOO

Co-occurring keywords

derivative-free optimization (44) gradient estimation (150) stochastic optimization (1060) gradient estimator (59) gradient-free optimization (43) regret bound (1926) stationary point (44) strongly convex function (31) zeroth-order optimization (102) black-box model (90)

Papers

VALIANT: Prompt Instability for Active Learning in Black-Box Medical Imaging AAAI 2026
MedSAMix: A Training-Free Model Merging Approach for Medical Image Segmentation AAAI 2026
VLMInferSlow: Evaluating the Efficiency Robustness of Large Vision-Language Models as a Service ACL 2025
DiffECG: Diffusion Model-Powered Label-Efficient and Personalized Arrhythmia Diagnosis IJCAI 2025
Large Language Model Unlearning via Embedding-Corrupted Prompts NIPS 2024
Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting AAAI 2024
An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization JMLR 2024
Gradient-free optimization of highly smooth functions: improved analysis and a new algorithm JMLR 2024
Countering the Communication Bottleneck in Federated Learning: A Highly Efficient Zero-Order Optimization Technique JMLR 2024
Safe online convex optimization with multi-point feedback L4DC 2024
Hard-Label Based Small Query Black-Box Adversarial Attack WACV 2024
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning ICML 2023
A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning NIPS 2023
A gradient estimator via L1-randomization for online zero-order optimization with two point feedback NIPS 2022
ZARTS: On Zero-order Optimization for Neural Architecture Search NIPS 2022
GRAC: Self-Guided and Self-Regularized Actor-Critic CORL 2021
Distributed Zero-Order Optimization under Adversarial Noise NIPS 2021
Risk-Averse Zero-Order Trajectory Optimization CORL 2021
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems JMLR 2020
Exploiting Higher Order Smoothness in Derivative-free Optimization and Continuous Bandits NIPS 2020
Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources ICML 2020
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach L4DC 2020
Efficiently avoiding saddle points with zero order methods: No gradients required NIPS 2019
An Optimal Algorithm for Bandit and Zero-Order Convex Optimization with Two-Point Feedback JMLR 2017
Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods NIPS 2012