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. 1702.08848
  4. Cited By
Semi-supervised Learning based on Distributionally Robust Optimization

Semi-supervised Learning based on Distributionally Robust Optimization

28 February 2017
Jose H. Blanchet
Yang Kang
    OOD
ArXivPDFHTML

Papers citing "Semi-supervised Learning based on Distributionally Robust Optimization"

7 / 7 papers shown
Title
An Inexact Halpern Iteration with Application to Distributionally Robust
  Optimization
An Inexact Halpern Iteration with Application to Distributionally Robust Optimization
Ling Liang
Kim-Chuan Toh
Jia Jie Zhu
22
4
0
08 Feb 2024
A Unified Wasserstein Distributional Robustness Framework for
  Adversarial Training
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training
Tu Bui
Trung Le
Quan Hung Tran
He Zhao
Dinh Q. Phung
AAML
OOD
31
42
0
27 Feb 2022
Sinkhorn Distributionally Robust Optimization
Sinkhorn Distributionally Robust Optimization
Jie Wang
Rui Gao
Yao Xie
43
35
0
24 Sep 2021
Stochastic Bias-Reduced Gradient Methods
Stochastic Bias-Reduced Gradient Methods
Hilal Asi
Y. Carmon
A. Jambulapati
Yujia Jin
Aaron Sidford
18
29
0
17 Jun 2021
Unbiased Gradient Estimation for Distributionally Robust Learning
Unbiased Gradient Estimation for Distributionally Robust Learning
Soumyadip Ghosh
M. Squillante
OOD
21
7
0
22 Dec 2020
Robustness to Adversarial Perturbations in Learning from Incomplete Data
Robustness to Adversarial Perturbations in Learning from Incomplete Data
Amir Najafi
S. Maeda
Masanori Koyama
Takeru Miyato
OOD
16
129
0
24 May 2019
Sample Out-Of-Sample Inference Based on Wasserstein Distance
Sample Out-Of-Sample Inference Based on Wasserstein Distance
Jose H. Blanchet
Yang Kang
28
35
0
04 May 2016
1