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Parameter Learning for Log-supermodular Distributions

Parameter Learning for Log-supermodular Distributions

18 August 2016
Tatiana Shpakova
Francis R. Bach
ArXiv (abs)PDFHTML

Papers citing "Parameter Learning for Log-supermodular Distributions"

5 / 5 papers shown
Title
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent
  Variable Models
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models
Pasquale Minervini
Luca Franceschi
Mathias Niepert
101
11
0
11 Sep 2022
Implicit MLE: Backpropagating Through Discrete Exponential Family
  Distributions
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
Mathias Niepert
Pasquale Minervini
Luca Franceschi
84
87
0
03 Jun 2021
Learning with Differentiable Perturbed Optimizers
Learning with Differentiable Perturbed Optimizers
Quentin Berthet
Mathieu Blondel
O. Teboul
Marco Cuturi
Jean-Philippe Vert
Francis R. Bach
94
109
0
20 Feb 2020
Marginal Weighted Maximum Log-likelihood for Efficient Learning of
  Perturb-and-Map models
Marginal Weighted Maximum Log-likelihood for Efficient Learning of Perturb-and-Map models
Tatiana Shpakova
Francis R. Bach
A. Osokin
16
5
0
21 Nov 2018
High Dimensional Inference with Random Maximum A-Posteriori
  Perturbations
High Dimensional Inference with Random Maximum A-Posteriori Perturbations
Tamir Hazan
Francesco Orabona
Anand D. Sarwate
Subhransu Maji
Tommi Jaakkola
78
7
0
10 Feb 2016
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