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2002.04197
Cited By

Generalised Lipschitz Regularisation Equals Distributional Robustness

Generalised Lipschitz Regularisation Equals Distributional Robustness

International Conference on Machine Learning (ICML), 2020

11 February 2020

Simon Kornblith

ArXiv (abs)PDF HTML

Papers citing "Generalised Lipschitz Regularisation Equals Distributional Robustness"

14 / 14 papers shown

Wasserstein Distributionally Robust Optimization Through the Lens of Structural Causal Models and Individual Fairness

Wasserstein Distributionally Robust Optimization Through the Lens of Structural Causal Models and Individual FairnessNeural Information Processing Systems (NeurIPS), 2025

200

4

0

30 Sep 2025

Nonsmooth Nonconvex-Nonconcave Minimax Optimization: Primal-Dual Balancing and Iteration Complexity Analysis

Nonsmooth Nonconvex-Nonconcave Minimax Optimization: Primal-Dual Balancing and Iteration Complexity AnalysisMathematical programming (Math. Program.), 2022

Anthony Man-Cho So

684

18

0

17 Jan 2025

Achieving Domain-Independent Certified Robustness via Knowledge
Continuity

Achieving Domain-Independent Certified Robustness via Knowledge ContinuityNeural Information Processing Systems (NeurIPS), 2024

Soroush Vosoughi

322

2

0

03 Nov 2024

Distributionally Robust Skeleton Learning of Discrete Bayesian Networks

Distributionally Robust Skeleton Learning of Discrete Bayesian NetworksNeural Information Processing Systems (NeurIPS), 2023

235

1

0

10 Nov 2023

Unifying Distributionally Robust Optimization via Optimal Transport Theory

Unifying Distributionally Robust Optimization via Optimal Transport Theory

Jose H. Blanchet

Bahar Taşkesen

387

21

0

10 Aug 2023

PATROL: Privacy-Oriented Pruning for Collaborative Inference Against
Model Inversion Attacks

PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion AttacksIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023

300

16

0

20 Jul 2023

Instance-Dependent Generalization Bounds via Optimal Transport

Instance-Dependent Generalization Bounds via Optimal TransportJournal of machine learning research (JMLR), 2022

Parnian Kassraie

Anastasis Kratsios

614

13

0

02 Nov 2022

Tikhonov Regularization is Optimal Transport Robust under Martingale
Constraints

Tikhonov Regularization is Optimal Transport Robust under Martingale ConstraintsNeural Information Processing Systems (NeurIPS), 2022

Jose H. Blanchet

Viet Anh Nguyen

241

14

0

04 Oct 2022

On Certifying and Improving Generalization to Unseen Domains

On Certifying and Improving Generalization to Unseen Domains

312

5

0

24 Jun 2022

$Distributionally Robust Bayesian Optimization with $\varphi$-divergences$

Distributionally Robust Bayesian Optimization with

\varphi

-divergencesNeural Information Processing Systems (NeurIPS), 2022

Anton Van Den Hengel

547

21

0

04 Mar 2022

Certifying Out-of-Domain Generalization for Blackbox Functions

Certifying Out-of-Domain Generalization for Blackbox FunctionsInternational Conference on Machine Learning (ICML), 2022

284

20

0

03 Feb 2022

Regularized Policies are Reward Robust

Regularized Policies are Reward RobustInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021

250

30

0

18 Jan 2021

Robust Machine Learning via Privacy/Rate-Distortion Theory

Robust Machine Learning via Privacy/Rate-Distortion Theory

Adnan Siraj Rakin

233

7

0

22 Jul 2020

Distributional Robustness with IPMs and links to Regularization and GANs

Distributional Robustness with IPMs and links to Regularization and GANs

195

24

0

08 Jun 2020

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