Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling

29 March 2020

Papers citing "Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling"

9 / 9 papers shown

Title
CONGO: Compressive Online Gradient Optimization Jeremy Carleton Prathik Vijaykumar Divyanshu Saxena D. Narasimha Srinivas Shakkottai Aditya Akella 46 0 0 08 Jul 2024
Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization Ruizhong Qiu Hanghang Tong 37 3 0 27 May 2024
Certified Zeroth-order Black-Box Defense with Robust UNet Denoiser Astha Verma A. Subramanyam Siddhesh Bangar Naman Lal R. Shah Shiníchi Satoh 34 4 0 13 Apr 2023
Lazy Queries Can Reduce Variance in Zeroth-order Optimization Quan-Wu Xiao Qing Ling Tianyi Chen 38 0 0 14 Jun 2022
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective Yimeng Zhang Yuguang Yao Jinghan Jia Jinfeng Yi Min-Fong Hong Shiyu Chang Sijia Liu AAML 23 33 0 27 Mar 2022
Curvature-Aware Derivative-Free Optimization Bumsu Kim HanQin Cai Daniel McKenzie W. Yin ODL 22 10 0 27 Sep 2021
A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization HanQin Cai Y. Lou Daniel McKenzie W. Yin 14 40 0 21 Feb 2021
A One-bit, Comparison-Based Gradient Estimator HanQin Cai Daniel McKenzie W. Yin Zhenliang Zhang 22 17 0 06 Oct 2020
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,110 0 04 Nov 2016