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1810.11905
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Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models
28 October 2018
Shanshan Wu
Sujay Sanghavi
A. Dimakis
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Papers citing
"Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models"
10 / 10 papers shown
Title
Efficient Hamiltonian, structure and trace distance learning of Gaussian states
Marco Fanizza
Cambyse Rouzé
Daniel Stilck França
40
4
0
05 Nov 2024
Discrete distributions are learnable from metastable samples
Abhijith Jayakumar
A. Lokhov
Sidhant Misra
Marc Vuffray
42
1
0
17 Oct 2024
Statistical Efficiency of Score Matching: The View from Isoperimetry
Frederic Koehler
Alexander Heckett
Andrej Risteski
DiffM
104
50
0
03 Oct 2022
Ising Model Selection Using
ℓ
1
\ell_{1}
ℓ
1
-Regularized Linear Regression: A Statistical Mechanics Analysis
Xiangming Meng
T. Obuchi
Y. Kabashima
33
4
0
08 Feb 2021
Limits on Testing Structural Changes in Ising Models
Aditya Gangrade
B. Nazer
Venkatesh Saligrama
27
0
0
07 Nov 2020
Learning Restricted Boltzmann Machines with Sparse Latent Variables
Guy Bresler
Rares-Darius Buhai
18
2
0
07 Jun 2020
Learning Ising models from one or multiple samples
Y. Dagan
C. Daskalakis
Nishanth Dikkala
Anthimos Vardis Kandiros
11
10
0
20 Apr 2020
Learning Ising Models with Independent Failures
Surbhi Goel
D. Kane
Adam R. Klivans
25
15
0
13 Feb 2019
Lower bounds for testing graphical models: colorings and antiferromagnetic Ising models
Ivona Bezáková
Antonio Blanca
Zongchen Chen
Daniel Stefankovic
Eric Vigoda
11
20
0
22 Jan 2019
Testing Ising Models
C. Daskalakis
Nishanth Dikkala
Gautam Kamath
18
101
0
09 Dec 2016
1