Sample Compression for Real-Valued Learners

21 May 2018

Papers citing "Sample Compression for Real-Valued Learners"

12 / 12 papers shown

Title
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors Romain Chor Milad Sefidgaran Piotr Krasnowski 282 2 0 21 Feb 2025
Sample Compression Scheme Reductions Idan Attias Steve Hanneke Arvind Ramaswami MQ 132 1 0 16 Oct 2024
Sample Compression Unleashed: New Generalization Bounds for Real Valued Losses Mathieu Bazinet Valentina Zantedeschi Pascal Germain MLT AI4CE 76 2 0 26 Sep 2024
Optimal Learners for Realizable Regression: PAC Learning and Online Learning Idan Attias Steve Hanneke Alkis Kalavasis Amin Karbasi Grigoris Velegkas 102 21 0 07 Jul 2023
Two Heads are Actually Better than One: Towards Better Adversarial Robustness via Transduction and Rejection Nils Palumbo Yang Guo Xi Wu Jiefeng Chen Yingyu Liang S. Jha AAML 111 0 0 27 May 2023
On Error and Compression Rates for Prototype Rules Omer Kerem Roi Weiss 46 1 0 16 Jun 2022
A Characterization of Semi-Supervised Adversarially-Robust PAC Learnability Idan Attias Steve Hanneke Yishay Mansour 73 17 0 11 Feb 2022
VC dimension of partially quantized neural networks in the overparametrized regime Yutong Wang Clayton D. Scott 81 1 0 06 Oct 2021
Primal and Dual Combinatorial Dimensions P. Kleer H. Simon 48 7 0 23 Aug 2021
A Theory of PAC Learnability of Partial Concept Classes N. Alon Steve Hanneke R. Holzman Shay Moran 77 54 0 18 Jul 2021
A Statistical Perspective on Coreset Density Estimation Paxton Turner Jingbo Liu Philippe Rigollet 62 10 0 10 Nov 2020
VC Classes are Adversarially Robustly Learnable, but Only Improperly Omar Montasser Steve Hanneke Nathan Srebro 73 141 0 12 Feb 2019