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. 2103.15352
  4. Cited By
Private Non-smooth Empirical Risk Minimization and Stochastic Convex
  Optimization in Subquadratic Steps

Private Non-smooth Empirical Risk Minimization and Stochastic Convex Optimization in Subquadratic Steps

29 March 2021
Janardhan Kulkarni
Y. Lee
Daogao Liu
ArXivPDFHTML

Papers citing "Private Non-smooth Empirical Risk Minimization and Stochastic Convex Optimization in Subquadratic Steps"

3 / 3 papers shown
Title
Non-Euclidean Differentially Private Stochastic Convex Optimization:
  Optimal Rates in Linear Time
Non-Euclidean Differentially Private Stochastic Convex Optimization: Optimal Rates in Linear Time
Raef Bassily
Cristóbal Guzmán
Anupama Nandi
75
67
0
01 Mar 2021
Randomized Smoothing for Stochastic Optimization
Randomized Smoothing for Stochastic Optimization
John C. Duchi
Peter L. Bartlett
Martin J. Wainwright
75
282
0
22 Mar 2011
Learning in a Large Function Space: Privacy-Preserving Mechanisms for
  SVM Learning
Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning
Benjamin I. P. Rubinstein
Peter L. Bartlett
Ling Huang
N. Taft
75
293
0
30 Nov 2009
1