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2006.11313
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Information theoretic limits of learning a sparse rule
19 June 2020
Clément Luneau
Jean Barbier
N. Macris
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Papers citing
"Information theoretic limits of learning a sparse rule"
5 / 5 papers shown
Title
Performance of Bayesian linear regression in a model with mismatch
Jean Barbier
Wei-Kuo Chen
D. Panchenko
Manuel Sáenz
89
22
0
14 Jul 2021
It was "all" for "nothing": sharp phase transitions for noiseless discrete channels
Jonathan Niles-Weed
Ilias Zadik
71
10
0
24 Feb 2021
High-dimensional inference: a statistical mechanics perspective
Jean Barbier
AI4CE
52
5
0
28 Oct 2020
Strong replica symmetry for high-dimensional disordered log-concave Gibbs measures
Jean Barbier
D. Panchenko
Manuel Sáenz
81
10
0
27 Sep 2020
The All-or-Nothing Phenomenon in Sparse Tensor PCA
Jonathan Niles-Weed
Ilias Zadik
60
18
0
22 Jul 2020
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