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Learning Restricted Boltzmann Machines via Influence Maximization

Learning Restricted Boltzmann Machines via Influence Maximization

Guy Bresler
Frederic Koehler
Ankur Moitra
Elchanan Mossel
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Papers citing "Learning Restricted Boltzmann Machines via Influence Maximization"

4 / 4 papers shown
Title
Learning and Testing Latent-Tree Ising Models Efficiently
Learning and Testing Latent-Tree Ising Models Efficiently
Davin Choo
Y. Dagan
C. Daskalakis
Anthimos Vardis Kandiros
22
8
0
23 Nov 2022
From Boltzmann Machines to Neural Networks and Back Again
From Boltzmann Machines to Neural Networks and Back Again
Surbhi Goel
Adam R. Klivans
Frederic Koehler
13
5
0
25 Jul 2020
Logistic-Regression with peer-group effects via inference in higher order Ising models
Logistic-Regression with peer-group effects via inference in higher order Ising models
C. Daskalakis
Nishanth Dikkala
Ioannis Panageas
24
11
0
18 Mar 2020
Benefits of depth in neural networks
Benefits of depth in neural networks
Matus Telgarsky
130
602
0
14 Feb 2016