ResearchTrend.AI
Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization

Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization

Yibo Zeng
H. Lam
ArXivPDFHTML

Papers citing "Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization"

5 / 5 papers shown
Title
Universal generalization guarantees for Wasserstein distributionally robust models
Universal generalization guarantees for Wasserstein distributionally robust models
Tam Le
Jérome Malick
OOD
56
2
0
28 Jan 2025
Group Distributionally Robust Dataset Distillation with Risk Minimization
Group Distributionally Robust Dataset Distillation with Risk Minimization
Saeed Vahidian
Mingyu Wang
Jianyang Gu
Vyacheslav Kungurtsev
Wei Jiang
Yiran Chen
OOD
DD
43
6
0
07 Feb 2024
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
296
3,113
0
04 Nov 2016
Sample Out-Of-Sample Inference Based on Wasserstein Distance
Sample Out-Of-Sample Inference Based on Wasserstein Distance
Jose H. Blanchet
Yang Kang
34
35
0
04 May 2016
Conditional mean embeddings as regressors - supplementary
Conditional mean embeddings as regressors - supplementary
Steffen Grunewalder
Guy Lever
Luca Baldassarre
Sam Patterson
Arthur Gretton
Massimiliano Pontil
85
143
0
21 May 2012