ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1809.01275
  4. Cited By
Solving Non-smooth Constrained Programs with Lower Complexity than
  $\mathcal{O}(1/\varepsilon)$: A Primal-Dual Homotopy Smoothing Approach
v1v2v3 (latest)

Solving Non-smooth Constrained Programs with Lower Complexity than O(1/ε)\mathcal{O}(1/\varepsilon)O(1/ε): A Primal-Dual Homotopy Smoothing Approach

5 September 2018
Xiaohan Wei
Hao Yu
Qing Ling
M. Neely
ArXiv (abs)PDFHTML

Papers citing "Solving Non-smooth Constrained Programs with Lower Complexity than $\mathcal{O}(1/\varepsilon)$: A Primal-Dual Homotopy Smoothing Approach"

3 / 3 papers shown
Title
Nonsmooth Projection-Free Optimization with Functional Constraints
Nonsmooth Projection-Free Optimization with Functional Constraints
Kamiar Asgari
Michael J. Neely
68
0
0
18 Nov 2023
Damped Proximal Augmented Lagrangian Method for weakly-Convex Problems
  with Convex Constraints
Damped Proximal Augmented Lagrangian Method for weakly-Convex Problems with Convex Constraints
Hari Dahal
Wei Liu
Yangyang Xu
65
5
0
15 Nov 2023
Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic
  Primal-Dual Optimization
Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic Primal-Dual Optimization
Dongsheng Ding
Xiaohan Wei
Zhuoran Yang
Zhaoran Wang
M. Jovanović
59
15
0
07 Aug 2019
1