Parametrization Cookbook: A set of Bijective Parametrizations for using Machine Learning methods in Statistical Inference

19 January 2023

Papers citing "Parametrization Cookbook: A set of Bijective Parametrizations for using Machine Learning methods in Statistical Inference"

3 / 3 papers shown

Title
Efficient preconditioned stochastic gradient descent for estimation in latent variable models C. Baey Maud Delattre E. Kuhn Jean-Benoist Léger Sarah Lemler 40 4 0 22 Jun 2023
On the Convergence of Black-Box Variational Inference Kyurae Kim Jisu Oh Kaiwen Wu Yi-An Ma Jacob R. Gardner BDL 94 17 0 24 May 2023
Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference Kyurae Kim Kaiwen Wu Jisu Oh Jacob R. Gardner BDL 109 8 0 18 Mar 2023