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2003.13001
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Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling
29 March 2020
HanQin Cai
Daniel McKenzie
W. Yin
Zhenliang Zhang
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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
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