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Optimal learning via local entropies and sample compression
v1v2 (latest)

Optimal learning via local entropies and sample compression

4 June 2017
Nikita Zhivotovskiy
ArXiv (abs)PDFHTML

Papers citing "Optimal learning via local entropies and sample compression"

12 / 12 papers shown
Title
Credit Attribution and Stable Compression
Credit Attribution and Stable Compression
Roi Livni
Shay Moran
Kobbi Nissim
Chirag Pabbaraju
79
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
53
17
0
18 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
100
7
0
19 Dec 2022
Stability and Deviation Optimal Risk Bounds with Convergence Rate
  $O(1/n)$
Stability and Deviation Optimal Risk Bounds with Convergence Rate O(1/n)O(1/n)O(1/n)
Yegor Klochkov
Nikita Zhivotovskiy
81
62
0
22 Mar 2021
Towards Optimal Problem Dependent Generalization Error Bounds in
  Statistical Learning Theory
Towards Optimal Problem Dependent Generalization Error Bounds in Statistical Learning Theory
Yunbei Xu
A. Zeevi
130
17
0
12 Nov 2020
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
125
27
0
09 Nov 2020
Proper Learning, Helly Number, and an Optimal SVM Bound
Proper Learning, Helly Number, and an Optimal SVM Bound
Olivier Bousquet
Steve Hanneke
Shay Moran
Nikita Zhivotovskiy
123
53
0
24 May 2020
Fast classification rates without standard margin assumptions
Fast classification rates without standard margin assumptions
Olivier Bousquet
Nikita Zhivotovskiy
57
19
0
28 Oct 2019
Sharper bounds for uniformly stable algorithms
Sharper bounds for uniformly stable algorithms
Olivier Bousquet
Yegor Klochkov
Nikita Zhivotovskiy
64
122
0
17 Oct 2019
A New Lower Bound for Agnostic Learning with Sample Compression Schemes
A New Lower Bound for Agnostic Learning with Sample Compression Schemes
Steve Hanneke
A. Kontorovich
14
0
0
21 May 2018
Empirical Variance Minimization with Applications in Variance Reduction
  and Optimal Control
Empirical Variance Minimization with Applications in Variance Reduction and Optimal Control
Denis Belomestny
L. Iosipoi
Q. Paris
Nikita Zhivotovskiy
93
8
0
13 Dec 2017
When are epsilon-nets small?
When are epsilon-nets small?
A. Kupavskii
Nikita Zhivotovskiy
44
7
0
28 Nov 2017
1