A Characterization of Semi-Supervised Adversarially-Robust PAC Learnability

11 February 2022

Papers citing "A Characterization of Semi-Supervised Adversarially-Robust PAC Learnability"

11 / 11 papers shown

Title
Sample Compression Scheme Reductions Idan Attias Steve Hanneke Arvind Ramaswami MQ 21 1 0 16 Oct 2024
On the Computability of Robust PAC Learning Pascale Gourdeau Tosca Lechner Ruth Urner 20 2 0 14 Jun 2024
Uniformly Stable Algorithms for Adversarial Training and Beyond Jiancong Xiao Jiawei Zhang Zhimin Luo Asuman Ozdaglar AAML 35 0 0 03 May 2024
Optimal Learners for Realizable Regression: PAC Learning and Online Learning Idan Attias Steve Hanneke Alkis Kalavasis Amin Karbasi Grigoris Velegkas 16 21 0 07 Jul 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications Anqi Mao M. Mohri Yutao Zhong AAML 13 270 0 14 Apr 2023
The One-Inclusion Graph Algorithm is not Always Optimal Ishaq Aden-Ali Yeshwanth Cherapanamjeri Abhishek Shetty Nikita Zhivotovskiy 21 8 0 19 Dec 2022
On Proper Learnability between Average- and Worst-case Robustness Vinod Raman Unique Subedi Ambuj Tewari 11 3 0 10 Nov 2022
Adversarially Robust PAC Learnability of Real-Valued Functions Idan Attias Steve Hanneke 15 5 0 26 Jun 2022
Domain Invariant Adversarial Learning Matan Levi Idan Attias A. Kontorovich AAML OOD 17 11 0 01 Apr 2021
Improved Generalization Bounds for Adversarially Robust Learning Idan Attias A. Kontorovich Yishay Mansour 6 17 0 04 Oct 2018
Agnostic Sample Compression Schemes for Regression Idan Attias Steve Hanneke A. Kontorovich Menachem Sadigurschi 17 4 0 03 Oct 2018