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Information theoretic limits of learning a sparse rule
v1v2 (latest)

Information theoretic limits of learning a sparse rule

19 June 2020
Clément Luneau
Jean Barbier
N. Macris
ArXiv (abs)PDFHTML

Papers citing "Information theoretic limits of learning a sparse rule"

7 / 7 papers shown
Sharp thresholds in inference of planted subgraphs
Sharp thresholds in inference of planted subgraphsAnnual Conference Computational Learning Theory (COLT), 2023
Elchanan Mossel
Jonathan Niles-Weed
Youngtak Sohn
Nike Sun
Ilias Zadik
302
11
0
28 Feb 2023
Statistical and Computational Phase Transitions in Group Testing
Statistical and Computational Phase Transitions in Group TestingAnnual Conference Computational Learning Theory (COLT), 2022
A. Coja-Oghlan
Oliver Gebhard
Max Hahn-Klimroth
Alexander S. Wein
Ilias Zadik
219
23
0
15 Jun 2022
Performance of Bayesian linear regression in a model with mismatch
Performance of Bayesian linear regression in a model with mismatch
Jean Barbier
Wei-Kuo Chen
D. Panchenko
Manuel Sáenz
382
26
0
14 Jul 2021
It was "all" for "nothing": sharp phase transitions for noiseless
  discrete channels
It was "all" for "nothing": sharp phase transitions for noiseless discrete channelsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021
Jonathan Niles-Weed
Ilias Zadik
319
10
0
24 Feb 2021
High-dimensional inference: a statistical mechanics perspective
High-dimensional inference: a statistical mechanics perspective
Jean Barbier
AI4CE
223
6
0
28 Oct 2020
Strong replica symmetry for high-dimensional disordered log-concave
  Gibbs measures
Strong replica symmetry for high-dimensional disordered log-concave Gibbs measures
Jean Barbier
D. Panchenko
Manuel Sáenz
311
10
0
27 Sep 2020
The All-or-Nothing Phenomenon in Sparse Tensor PCA
The All-or-Nothing Phenomenon in Sparse Tensor PCA
Jonathan Niles-Weed
Ilias Zadik
304
19
0
22 Jul 2020
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