ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization

15 October 2019

Papers citing "ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization"

26 / 26 papers shown

Title
Scalable Back-Propagation-Free Training of Optical Physics-Informed Neural Networks Yequan Zhao Xinling Yu Xian Xiao Zhengzhang Chen Zhengwu Liu G. Kurczveil R. Beausoleil Shixuan Liu Z. Zhang 59 0 0 17 Feb 2025
MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models Zhen Zhang Yue Yang Kai Zhen Nathan Susanj Athanasios Mouchtaris Siegfried Kunzmann Zheng Zhang 59 0 0 17 Feb 2025
Obtaining Lower Query Complexities through Lightweight Zeroth-Order Proximal Gradient Algorithms Bin Gu Xiyuan Wei Hualin Zhang Yi Chang Heng-Chiao Huang FedML 23 0 0 03 Oct 2024
DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization Pucheng Dang Xing Hu Dong Li Rui Zhang Qi Guo Kaidi Xu DiffM 36 5 0 18 Aug 2024
Extremization to Fine Tune Physics Informed Neural Networks for Solving Boundary Value Problems A. Thiruthummal Sergiy Shelyag Eun-Jin Kim 33 2 0 07 Jun 2024
Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization Ruizhong Qiu Hanghang Tong 44 3 0 27 May 2024
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization Zhe Li Bicheng Ying Zidong Liu Haibo Yang Haibo Yang FedML 64 3 0 24 May 2024
BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks Zhiyuan Cheng Zhaoyi Liu Tengda Guo Shiwei Feng Dongfang Liu Mingjie Tang Xiangyu Zhang AAML 41 3 0 01 Apr 2024
Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Method Elissa Mhanna Mohamad Assaad 55 1 0 30 Jan 2024
CARE: Ensemble Adversarial Robustness Evaluation Against Adaptive Attackers for Security Applications Hangsheng Zhang Jiqiang Liu Jinsong Dong AAML 21 1 0 20 Jan 2024
Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial Text Attacks Piotr Gaiñski Klaudia Bałazy 27 6 0 10 Feb 2023
Zero-Order One-Point Estimate with Distributed Stochastic Gradient-Tracking Technique Elissa Mhanna Mohamad Assaad 38 4 0 11 Oct 2022
Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization Tianyi Lin Zeyu Zheng Michael I. Jordan 62 52 0 12 Sep 2022
Optimistic Optimisation of Composite Objective with Exponentiated Update Weijia Shao F. Sivrikaya S. Albayrak 39 3 0 08 Aug 2022
Lazy Queries Can Reduce Variance in Zeroth-order Optimization Quan-Wu Xiao Qing Ling Tianyi Chen 46 0 0 14 Jun 2022
Over-the-Air Federated Learning via Second-Order Optimization Peng Yang Yuning Jiang Ting Wang Yong Zhou Yuanming Shi Colin N. Jones 50 28 0 29 Mar 2022
Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam Yucheng Lu Conglong Li Minjia Zhang Christopher De Sa Yuxiong He OffRL AI4CE 29 20 0 12 Feb 2022
Adaptive Sampling Quasi-Newton Methods for Zeroth-Order Stochastic Optimization Raghu Bollapragada Stefan M. Wild 35 11 0 24 Sep 2021
An Accelerated Variance-Reduced Conditional Gradient Sliding Algorithm for First-order and Zeroth-order Optimization Xiyuan Wei Bin Gu Heng-Chiao Huang 34 1 0 18 Sep 2021
A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization HanQin Cai Y. Lou Daniel McKenzie W. Yin 34 41 0 21 Feb 2021
Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization Jiaqi Gu Chenghao Feng Zheng Zhao Zhoufeng Ying Ray T. Chen David Z. Pan 27 29 0 21 Dec 2020
Optimizing Molecules using Efficient Queries from Property Evaluations Samuel C. Hoffman Vijil Chenthamarakshan Kahini Wadhawan Pin-Yu Chen Payel Das 46 69 0 03 Nov 2020
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning Sijia Liu Pin-Yu Chen B. Kailkhura Gaoyuan Zhang A. Hero III P. Varshney 26 224 0 11 Jun 2020
Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling HanQin Cai Daniel McKenzie W. Yin Zhenliang Zhang 63 49 0 29 Mar 2020
A new regret analysis for Adam-type algorithms Ahmet Alacaoglu Yura Malitsky P. Mertikopoulos V. Cevher ODL 48 42 0 21 Mar 2020
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 329 5,849 0 08 Jul 2016