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Obtaining Lower Query Complexities through Lightweight Zeroth-Order
  Proximal Gradient Algorithms

Obtaining Lower Query Complexities through Lightweight Zeroth-Order Proximal Gradient Algorithms

3 October 2024
Bin Gu
Xiyuan Wei
Hualin Zhang
Yi Chang
Heng-Chiao Huang
    FedML
ArXiv (abs)PDFHTML

Papers citing "Obtaining Lower Query Complexities through Lightweight Zeroth-Order Proximal Gradient Algorithms"

11 / 11 papers shown
Title
An Accelerated DFO Algorithm for Finite-sum Convex Functions
An Accelerated DFO Algorithm for Finite-sum Convex Functions
Yuwen Chen
Antonio Orvieto
Aurelien Lucchi
62
15
0
07 Jul 2020
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box
  Optimization
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization
Xiangyi Chen
Sijia Liu
Kaidi Xu
Xingguo Li
Xue Lin
Mingyi Hong
David Cox
ODL
83
111
0
15 Oct 2019
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path
  Integrated Differential Estimator
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator
Cong Fang
C. J. Li
Zhouchen Lin
Tong Zhang
95
580
0
04 Jul 2018
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization
Sijia Liu
B. Kailkhura
Pin-Yu Chen
Pai-Shun Ting
Shiyu Chang
Lisa Amini
103
185
0
25 May 2018
Structured Evolution with Compact Architectures for Scalable Policy
  Optimization
Structured Evolution with Compact Architectures for Scalable Policy Optimization
K. Choromanski
Mark Rowland
Vikas Sindhwani
Richard Turner
Adrian Weller
84
149
0
06 Apr 2018
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILMOOD
317
12,131
0
19 Jun 2017
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
472
3,148
0
04 Nov 2016
Practical Black-Box Attacks against Machine Learning
Practical Black-Box Attacks against Machine Learning
Nicolas Papernot
Patrick McDaniel
Ian Goodfellow
S. Jha
Z. Berkay Celik
A. Swami
MLAUAAML
75
3,682
0
08 Feb 2016
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly
  Convex Composite Objectives
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives
Aaron Defazio
Francis R. Bach
Simon Lacoste-Julien
ODL
135
1,828
0
01 Jul 2014
A Proximal Stochastic Gradient Method with Progressive Variance
  Reduction
A Proximal Stochastic Gradient Method with Progressive Variance Reduction
Lin Xiao
Tong Zhang
ODL
160
739
0
19 Mar 2014
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic
  Programming
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming
Saeed Ghadimi
Guanghui Lan
ODL
122
1,562
0
22 Sep 2013
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