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How to calculate partition functions using convex programming
  hierarchies: provable bounds for variational methods

How to calculate partition functions using convex programming hierarchies: provable bounds for variational methods

11 July 2016
Andrej Risteski
ArXivPDFHTML

Papers citing "How to calculate partition functions using convex programming hierarchies: provable bounds for variational methods"

4 / 4 papers shown
Title
Variational Inference on the Boolean Hypercube with the Quantum Entropy
Variational Inference on the Boolean Hypercube with the Quantum Entropy
Eliot Beyler
Francis Bach
46
0
0
17 Feb 2025
Sampling Approximately Low-Rank Ising Models: MCMC meets Variational
  Methods
Sampling Approximately Low-Rank Ising Models: MCMC meets Variational Methods
Frederic Koehler
Holden Lee
Andrej Risteski
24
21
0
17 Feb 2022
Gauges, Loops, and Polynomials for Partition Functions of Graphical
  Models
Gauges, Loops, and Polynomials for Partition Functions of Graphical Models
Michael Chertkov
Vladimir Chernyak
Yury Maximov
21
5
0
12 Nov 2018
The Mean-Field Approximation: Information Inequalities, Algorithms, and
  Complexity
The Mean-Field Approximation: Information Inequalities, Algorithms, and Complexity
Vishesh Jain
Frederic Koehler
Elchanan Mossel
39
26
0
16 Feb 2018
1