ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1810.03233
  4. Cited By
Towards Gradient Free and Projection Free Stochastic Optimization
v1v2v3 (latest)

Towards Gradient Free and Projection Free Stochastic Optimization

8 October 2018
Anit Kumar Sahu
Manzil Zaheer
S. Kar
ArXiv (abs)PDFHTML

Papers citing "Towards Gradient Free and Projection Free Stochastic Optimization"

23 / 23 papers shown
Title
On the Optimal Construction of Unbiased Gradient Estimators for Zeroth-Order Optimization
On the Optimal Construction of Unbiased Gradient Estimators for Zeroth-Order Optimization
Shaocong Ma
Heng Huang
112
0
0
22 Oct 2025
Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations
Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned PerturbationsInternational Conference on Learning Representations (ICLR), 2025
Shaocong Ma
Heng Huang
148
10
0
22 Oct 2025
Leveraging Coordinate Momentum in SignSGD and Muon: Memory-Optimized Zero-Order
Leveraging Coordinate Momentum in SignSGD and Muon: Memory-Optimized Zero-Order
Egor Petrov
Grigoriy Evseev
Aleksey Antonov
Andrey Veprikov
Nikolay Bushkov
Nikolay Bushkov
Stanislav Moiseev
381
2
0
04 Jun 2025
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
398
1
0
13 Jan 2025
How to Boost Any Loss Function
How to Boost Any Loss Function
Richard Nock
Yishay Mansour
164
0
0
02 Jul 2024
Learning the Right Layers: a Data-Driven Layer-Aggregation Strategy for
  Semi-Supervised Learning on Multilayer Graphs
Learning the Right Layers: a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs
Sara Venturini
Andrea Cristofari
Francesco Rinaldi
Francesco Tudisco
95
6
0
31 May 2023
Gradient-Free Textual Inversion
Gradient-Free Textual InversionACM Multimedia (ACM MM), 2023
Zhengcong Fei
Mingyuan Fan
Junshi Huang
DiffM
236
38
0
12 Apr 2023
Using Taylor-Approximated Gradients to Improve the Frank-Wolfe Method
  for Empirical Risk Minimization
Using Taylor-Approximated Gradients to Improve the Frank-Wolfe Method for Empirical Risk MinimizationSIAM Journal on Optimization (SIAM J. Optim.), 2022
Zikai Xiong
R. Freund
148
1
0
30 Aug 2022
Adaptive Sampling Quasi-Newton Methods for Zeroth-Order Stochastic
  Optimization
Adaptive Sampling Quasi-Newton Methods for Zeroth-Order Stochastic OptimizationMathematical Programming Computation (MPC), 2021
Raghu Bollapragada
Stefan M. Wild
120
13
0
24 Sep 2021
An Accelerated Variance-Reduced Conditional Gradient Sliding Algorithm
  for First-order and Zeroth-order Optimization
An Accelerated Variance-Reduced Conditional Gradient Sliding Algorithm for First-order and Zeroth-order Optimization
Xiyuan Wei
Bin Gu
Heng-Chiao Huang
120
1
0
18 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
195
10
0
14 Jul 2021
Scalable Projection-Free Optimization
Scalable Projection-Free Optimization
Mingrui Zhang
236
0
0
07 May 2021
Optimal Regret Algorithm for Pseudo-1d Bandit Convex Optimization
Optimal Regret Algorithm for Pseudo-1d Bandit Convex OptimizationInternational Conference on Machine Learning (ICML), 2021
Aadirupa Saha
Nagarajan Natarajan
Praneeth Netrapalli
Prateek Jain
122
5
0
15 Feb 2021
Statistical Inference for Polyak-Ruppert Averaged Zeroth-order
  Stochastic Gradient Algorithm
Statistical Inference for Polyak-Ruppert Averaged Zeroth-order Stochastic Gradient Algorithm
Yanhao Jin
Tesi Xiao
Krishnakumar Balasubramanian
199
7
0
10 Feb 2021
Projection Efficient Subgradient Method and Optimal Nonsmooth
  Frank-Wolfe Method
Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe MethodNeural Information Processing Systems (NeurIPS), 2020
K. K. Thekumparampil
Prateek Jain
Praneeth Netrapalli
Sewoong Oh
178
25
0
05 Oct 2020
Accelerated Stochastic Gradient-free and Projection-free Methods
Accelerated Stochastic Gradient-free and Projection-free MethodsInternational Conference on Machine Learning (ICML), 2020
Feihu Huang
Lue Tao
Songcan Chen
194
26
0
16 Jul 2020
Improved Complexities for Stochastic Conditional Gradient Methods under
  Interpolation-like Conditions
Improved Complexities for Stochastic Conditional Gradient Methods under Interpolation-like Conditions
Tesi Xiao
Krishnakumar Balasubramanian
Saeed Ghadimi
206
3
0
15 Jun 2020
A Primer on Zeroth-Order Optimization in Signal Processing and Machine
  Learning
A Primer on Zeroth-Order Optimization in Signal Processing and Machine LearningIEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2020
Sijia Liu
Pin-Yu Chen
B. Kailkhura
Gaoyuan Zhang
A. Hero III
P. Varshney
310
284
0
11 Jun 2020
A Hybrid-Order Distributed SGD Method for Non-Convex Optimization to
  Balance Communication Overhead, Computational Complexity, and Convergence
  Rate
A Hybrid-Order Distributed SGD Method for Non-Convex Optimization to Balance Communication Overhead, Computational Complexity, and Convergence Rate
Naeimeh Omidvar
M. Maddah-ali
Hamed Mahdavi
ODL
79
3
0
27 Mar 2020
Stochastic Zeroth-order Riemannian Derivative Estimation and
  Optimization
Stochastic Zeroth-order Riemannian Derivative Estimation and Optimization
Jiaxiang Li
Krishnakumar Balasubramanian
Shiqian Ma
267
5
0
25 Mar 2020
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box
  Optimization
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box OptimizationNeural Information Processing Systems (NeurIPS), 2019
Xiangyi Chen
Sijia Liu
Kaidi Xu
Xingguo Li
Xue Lin
Mingyi Hong
David Cox
ODL
180
127
0
15 Oct 2019
One Sample Stochastic Frank-Wolfe
One Sample Stochastic Frank-WolfeInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Mingrui Zhang
Zebang Shen
Aryan Mokhtari
Hamed Hassani
Amin Karbasi
215
65
0
10 Oct 2019
Black Box Submodular Maximization: Discrete and Continuous Settings
Black Box Submodular Maximization: Discrete and Continuous Settings
Lin Chen
Mingrui Zhang
Hamed Hassani
Amin Karbasi
160
17
0
28 Jan 2019
1