ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2005.11818
  4. Cited By
Proper Learning, Helly Number, and an Optimal SVM Bound

Proper Learning, Helly Number, and an Optimal SVM Bound

24 May 2020
Olivier Bousquet
Steve Hanneke
Shay Moran
Nikita Zhivotovskiy
ArXivPDFHTML

Papers citing "Proper Learning, Helly Number, and an Optimal SVM Bound"

14 / 14 papers shown
Title
Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior
Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior
Romain Chor
Abdellatif Zaidi
Piotr Krasnowski
49
0
0
25 Apr 2025
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors
Romain Chor
Milad Sefidgaran
Piotr Krasnowski
96
1
0
21 Feb 2025
Sample Compression Scheme Reductions
Sample Compression Scheme Reductions
Idan Attias
Steve Hanneke
Arvind Ramaswami
MQ
42
1
0
16 Oct 2024
Credit Attribution and Stable Compression
Credit Attribution and Stable Compression
Roi Livni
Shay Moran
Kobbi Nissim
Chirag Pabbaraju
49
0
0
22 Jun 2024
Optimal PAC Bounds Without Uniform Convergence
Optimal PAC Bounds Without Uniform Convergence
Ishaq Aden-Ali
Yeshwanth Cherapanamjeri
Abhishek Shetty
Nikita Zhivotovskiy
35
16
0
18 Apr 2023
Replicability and stability in learning
Replicability and stability in learning
Zachary Chase
Shay Moran
Amir Yehudayoff
32
9
0
07 Apr 2023
The One-Inclusion Graph Algorithm is not Always Optimal
The One-Inclusion Graph Algorithm is not Always Optimal
Ishaq Aden-Ali
Yeshwanth Cherapanamjeri
Abhishek Shetty
Nikita Zhivotovskiy
29
7
0
19 Dec 2022
On Optimal Learning Under Targeted Data Poisoning
On Optimal Learning Under Targeted Data Poisoning
Steve Hanneke
Amin Karbasi
Mohammad Mahmoody
Idan Mehalel
Shay Moran
AAML
FedML
36
7
0
06 Oct 2022
Metric-valued regression
Metric-valued regression
Daniel Cohen
A. Kontorovich
FedML
19
5
0
07 Feb 2022
Towards a Unified Information-Theoretic Framework for Generalization
Towards a Unified Information-Theoretic Framework for Generalization
Mahdi Haghifam
Gintare Karolina Dziugaite
Shay Moran
Daniel M. Roy
27
34
0
09 Nov 2021
VC dimension of partially quantized neural networks in the
  overparametrized regime
VC dimension of partially quantized neural networks in the overparametrized regime
Yutong Wang
Clayton D. Scott
25
1
0
06 Oct 2021
Stable Sample Compression Schemes: New Applications and an Optimal SVM
  Margin Bound
Stable Sample Compression Schemes: New Applications and an Optimal SVM Margin Bound
Steve Hanneke
A. Kontorovich
22
26
0
09 Nov 2020
Sharper bounds for uniformly stable algorithms
Sharper bounds for uniformly stable algorithms
Olivier Bousquet
Yegor Klochkov
Nikita Zhivotovskiy
23
120
0
17 Oct 2019
Agnostic Sample Compression Schemes for Regression
Agnostic Sample Compression Schemes for Regression
Idan Attias
Steve Hanneke
A. Kontorovich
Menachem Sadigurschi
27
4
0
03 Oct 2018
1