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Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood
  Estimation for Latent Gaussian Models

Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models

5 June 2023
Alexander Lin
Bahareh Tolooshams
Yves Atchadé
Demba E. Ba
ArXivPDFHTML

Papers citing "Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models"

2 / 2 papers shown
Title
Implicit differentiation for fast hyperparameter selection in non-smooth
  convex learning
Implicit differentiation for fast hyperparameter selection in non-smooth convex learning
Quentin Bertrand
Quentin Klopfenstein
Mathurin Massias
Mathieu Blondel
Samuel Vaiter
Alexandre Gramfort
Joseph Salmon
48
26
0
04 May 2021
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Luca Franceschi
P. Frasconi
Saverio Salzo
Riccardo Grazzi
Massimiliano Pontil
99
715
0
13 Jun 2018
1