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Sample compression schemes for VC classes

Sample compression schemes for VC classes

24 March 2015
Shay Moran
Amir Yehudayoff
ArXivPDFHTML

Papers citing "Sample compression schemes for VC classes"

21 / 21 papers shown
Title
Sample Compression Scheme Reductions
Sample Compression Scheme Reductions
Idan Attias
Steve Hanneke
Arvind Ramaswami
MQ
47
1
0
16 Oct 2024
A Characterization of List Regression
A Characterization of List Regression
Chirag Pabbaraju
Sahasrajit Sarmasarkar
32
1
0
28 Sep 2024
Sample Compression Unleashed: New Generalization Bounds for Real Valued Losses
Sample Compression Unleashed: New Generalization Bounds for Real Valued Losses
Mathieu Bazinet
Valentina Zantedeschi
Pascal Germain
MLT
AI4CE
39
2
0
26 Sep 2024
List Sample Compression and Uniform Convergence
List Sample Compression and Uniform Convergence
Steve Hanneke
Shay Moran
Tom Waknine
38
6
0
16 Mar 2024
Private Distribution Learning with Public Data: The View from Sample
  Compression
Private Distribution Learning with Public Data: The View from Sample Compression
Shai Ben-David
Alex Bie
C. Canonne
Gautam Kamath
Vikrant Singhal
49
11
0
11 Aug 2023
Adversarially Robust Learning with Tolerance
Adversarially Robust Learning with Tolerance
H. Ashtiani
Vinayak Pathak
Ruth Urner
AAML
26
9
0
02 Mar 2022
A Characterization of Semi-Supervised Adversarially-Robust PAC
  Learnability
A Characterization of Semi-Supervised Adversarially-Robust PAC Learnability
Idan Attias
Steve Hanneke
Yishay Mansour
35
15
0
11 Feb 2022
Learning with distributional inverters
Learning with distributional inverters
Eric Binnendyk
M. Carmosino
A. Kolokolova
Ramyaa Ramyaa
Manuel Sabin
12
6
0
23 Dec 2021
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
Primal and Dual Combinatorial Dimensions
Primal and Dual Combinatorial Dimensions
P. Kleer
H. Simon
11
8
0
23 Aug 2021
A Theory of PAC Learnability of Partial Concept Classes
A Theory of PAC Learnability of Partial Concept Classes
N. Alon
Steve Hanneke
R. Holzman
Shay Moran
28
50
0
18 Jul 2021
The VC-Dimension of Axis-Parallel Boxes on the Torus
The VC-Dimension of Axis-Parallel Boxes on the Torus
Pierre Gillibert
T. Lachmann
Clemens Müllner
13
4
0
28 Apr 2020
Elementos da teoria de aprendizagem de máquina supervisionada
Elementos da teoria de aprendizagem de máquina supervisionada
Vladimir G. Pestov
VLM
11
2
0
06 Oct 2019
Learning from weakly dependent data under Dobrushin's condition
Learning from weakly dependent data under Dobrushin's condition
Y. Dagan
C. Daskalakis
Nishanth Dikkala
S. Jayanti
18
24
0
21 Jun 2019
Agnostic Sample Compression Schemes for Regression
Agnostic Sample Compression Schemes for Regression
Idan Attias
Steve Hanneke
A. Kontorovich
Menachem Sadigurschi
32
4
0
03 Oct 2018
Sample Compression for Real-Valued Learners
Sample Compression for Real-Valued Learners
Steve Hanneke
A. Kontorovich
Menachem Sadigurschi
27
21
0
21 May 2018
A Direct Sum Result for the Information Complexity of Learning
A Direct Sum Result for the Information Complexity of Learning
Ido Nachum
Jonathan Shafer
Amir Yehudayoff
20
16
0
16 Apr 2018
Nearly optimal classification for semimetrics
Nearly optimal classification for semimetrics
Lee-Ad Gottlieb
A. Kontorovich
38
18
0
22 Feb 2015
Teaching and compressing for low VC-dimension
Teaching and compressing for low VC-dimension
Shay Moran
Amir Shpilka
Avi Wigderson
Amir Yehudayoff
28
12
0
22 Feb 2015
A Geometric Approach to Sample Compression
A Geometric Approach to Sample Compression
Benjamin I. P. Rubinstein
J. Rubinstein
85
40
0
18 Nov 2009
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