Infinite-dimensional gradient-based descent for alpha-divergence minimisation

20 May 2020

Papers citing "Infinite-dimensional gradient-based descent for alpha-divergence minimisation"

7 / 7 papers shown

Title
Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs C. Margossian Loucas Pillaud-Vivien Lawrence K. Saul UD 71 2 0 20 Mar 2024
Asymptotic convergence of iterative optimization algorithms Randal Douc Sylvain Le Corff 19 0 0 24 Feb 2023
Regularized Rényi divergence minimization through Bregman proximal gradient algorithms Thomas Guilmeau Émilie Chouzenoux Victor Elvira 34 3 0 09 Nov 2022
Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics Kamélia Daudel Joe Benton Yuyang Shi Arnaud Doucet DRL 16 8 0 12 Oct 2022
Adaptive Importance Sampling meets Mirror Descent: a Bias-variance tradeoff Anna Korba Franccois Portier 23 12 0 29 Oct 2021
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations Pierre Colombo Chloé Clavel Pablo Piantanida AAML DRL 26 50 0 06 May 2021
Variational Inference via $χ$ -Upper Bound Minimization Adji Bousso Dieng Dustin Tran Rajesh Ranganath John Paisley David M. Blei BDL 81 36 0 01 Nov 2016