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Zeroth-order Nonconvex Stochastic Optimization: Handling Constraints,
  High-Dimensionality and Saddle-Points

Zeroth-order Nonconvex Stochastic Optimization: Handling Constraints, High-Dimensionality and Saddle-Points

17 September 2018
Krishnakumar Balasubramanian
Saeed Ghadimi
    ODL
ArXivPDFHTML

Papers citing "Zeroth-order Nonconvex Stochastic Optimization: Handling Constraints, High-Dimensionality and Saddle-Points"

13 / 13 papers shown
Title
An Enhanced Zeroth-Order Stochastic Frank-Wolfe Framework for Constrained Finite-Sum Optimization
An Enhanced Zeroth-Order Stochastic Frank-Wolfe Framework for Constrained Finite-Sum Optimization
Haishan Ye
Yinghui Huang
Hao Di
Xiangyu Chang
43
0
0
13 Jan 2025
Gradient-Free Method for Heavily Constrained Nonconvex Optimization
Gradient-Free Method for Heavily Constrained Nonconvex Optimization
Wanli Shi
Hongchang Gao
Bin Gu
21
5
0
31 Aug 2024
Fine-Tuning Language Models with Just Forward Passes
Fine-Tuning Language Models with Just Forward Passes
Sadhika Malladi
Tianyu Gao
Eshaan Nichani
Alexandru Damian
Jason D. Lee
Danqi Chen
Sanjeev Arora
43
180
0
27 May 2023
Online Estimation and Optimization of Utility-Based Shortfall Risk
Online Estimation and Optimization of Utility-Based Shortfall Risk
Vishwajit Hegde
Arvind S. Menon
L. A. Prashanth
Krishna Jagannathan
24
2
0
16 Nov 2021
Adaptive Sampling Quasi-Newton Methods for Zeroth-Order Stochastic
  Optimization
Adaptive Sampling Quasi-Newton Methods for Zeroth-Order Stochastic Optimization
Raghu Bollapragada
Stefan M. Wild
35
11
0
24 Sep 2021
Zeroth and First Order Stochastic Frank-Wolfe Algorithms for Constrained
  Optimization
Zeroth and First Order Stochastic Frank-Wolfe Algorithms for Constrained Optimization
Zeeshan Akhtar
K. Rajawat
37
6
0
14 Jul 2021
A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale
  Black-Box Optimization
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
A One-bit, Comparison-Based Gradient Estimator
A One-bit, Comparison-Based Gradient Estimator
HanQin Cai
Daniel McKenzie
W. Yin
Zhenliang Zhang
38
17
0
06 Oct 2020
A Primer on Zeroth-Order Optimization in Signal Processing and Machine
  Learning
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
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
Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved
  Complexities
Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved Complexities
Zhongruo Wang
Krishnakumar Balasubramanian
Shiqian Ma
Meisam Razaviyayn
21
25
0
22 Jan 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
8
105
0
15 Oct 2019
One Sample Stochastic Frank-Wolfe
One Sample Stochastic Frank-Wolfe
Mingrui Zhang
Zebang Shen
Aryan Mokhtari
Hamed Hassani
Amin Karbasi
14
57
0
10 Oct 2019
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