Calibration and Consistency of Adversarial Surrogate Losses

v1v2 (latest)

Calibration and Consistency of Adversarial Surrogate Losses

19 April 2021

Pranjal Awasthi

ArXiv (abs)PDF HTML

Papers citing "Calibration and Consistency of Adversarial Surrogate Losses"

14 / 14 papers shown

Title
Adversarial Surrogate Risk Bounds for Binary Classification Natalie S. Frank AAML 80 0 0 11 Jun 2025
Preference learning made easy: Everything should be understood through win rate Lily H. Zhang Rajesh Ranganath 155 0 0 14 Feb 2025
Outlier Robust Adversarial Training Shu Hu Zhenhuan Yang X. Wang Yiming Ying Siwei Lyu AAML 80 9 0 10 Sep 2023
Ranking with Abstention Anqi Mao M. Mohri Yutao Zhong 67 19 0 05 Jul 2023
Adversarial Training Should Be Cast as a Non-Zero-Sum Game Alexander Robey Fabian Latorre George J. Pappas Hamed Hassani Volkan Cevher AAML 155 13 0 19 Jun 2023
The Adversarial Consistency of Surrogate Risks for Binary Classification Natalie Frank Jonathan Niles-Weed AAML 77 6 0 17 May 2023
On Classification-Calibration of Gamma-Phi Losses Yutong Wang Clayton D. Scott 74 10 0 14 Feb 2023
Gamma-convergence of a nonlocal perimeter arising in adversarial machine learning Leon Bungert Kerrek Stinson 64 12 0 28 Nov 2022
Rank-based Decomposable Losses in Machine Learning: A Survey Shu Hu Xin Wang Siwei Lyu 100 32 0 18 Jul 2022
Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification Natalie Frank Jonathan Niles-Weed AAML 89 15 0 18 Jun 2022
Towards Consistency in Adversarial Classification Laurent Meunier Raphael Ettedgui Rafael Pinot Y. Chevaleyre Jamal Atif AAML 84 11 0 20 May 2022
A Characterization of Semi-Supervised Adversarially-Robust PAC Learnability Idan Attias Steve Hanneke Yishay Mansour 73 17 0 11 Feb 2022
On the Existence of the Adversarial Bayes Classifier (Extended Version) Pranjal Awasthi Natalie Frank M. Mohri 83 25 0 03 Dec 2021
A Finer Calibration Analysis for Adversarial Robustness Pranjal Awasthi Anqi Mao M. Mohri Yutao Zhong AAML 114 30 0 04 May 2021