A Theory of PAC Learnability of Partial Concept Classes

A Theory of PAC Learnability of Partial Concept Classes

18 July 2021

Papers citing "A Theory of PAC Learnability of Partial Concept Classes"

16 / 16 papers shown

Title
Sample Compression Scheme Reductions Idan Attias Steve Hanneke Arvind Ramaswami MQ 42 1 0 16 Oct 2024
A Characterization of List Regression Chirag Pabbaraju Sahasrajit Sarmasarkar 32 1 0 28 Sep 2024
List Sample Compression and Uniform Convergence Steve Hanneke Shay Moran Tom Waknine 38 6 0 16 Mar 2024
Optimal PAC Bounds Without Uniform Convergence Ishaq Aden-Ali Yeshwanth Cherapanamjeri Abhishek Shetty Nikita Zhivotovskiy 35 16 0 18 Apr 2023
Online Learning and Disambiguations of Partial Concept Classes T. Cheung Hamed Hatami Pooya Hatami Kaave Hosseini 13 4 0 30 Mar 2023
The One-Inclusion Graph Algorithm is not Always Optimal Ishaq Aden-Ali Yeshwanth Cherapanamjeri Abhishek Shetty Nikita Zhivotovskiy 29 7 0 19 Dec 2022
Comparative Learning: A Sample Complexity Theory for Two Hypothesis Classes Lunjia Hu Charlotte Peale 43 6 0 16 Nov 2022
A Characterization of List Learnability Moses Charikar Chirag Pabbaraju 29 13 0 07 Nov 2022
Multiclass Learnability Beyond the PAC Framework: Universal Rates and Partial Concept Classes Alkis Kalavasis Grigoris Velegkas Amin Karbasi 21 11 0 05 Oct 2022
Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization Omar Montasser Steve Hanneke Nathan Srebro 29 17 0 15 Sep 2022
A Characterization of Multiclass Learnability Nataly Brukhim Dan Carmon Irit Dinur Shay Moran Amir Yehudayoff 13 50 0 03 Mar 2022
A Characterization of Semi-Supervised Adversarially-Robust PAC Learnability Idan Attias Steve Hanneke Yishay Mansour 32 15 0 11 Feb 2022
Fat-Shattering Dimension of $k$ -fold Aggregations Idan Attias A. Kontorovich 34 2 0 10 Oct 2021
Adversarial Laws of Large Numbers and Optimal Regret in Online Classification N. Alon Omri Ben-Eliezer Y. Dagan Shay Moran M. Naor E. Yogev 77 51 0 22 Jan 2021
When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning? Gavin Brown Mark Bun Vitaly Feldman Adam D. Smith Kunal Talwar 253 93 0 11 Dec 2020
Agnostic Sample Compression Schemes for Regression Idan Attias Steve Hanneke A. Kontorovich Menachem Sadigurschi 24 4 0 03 Oct 2018