Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics

12 October 2022

Papers citing "Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics"

7 / 7 papers shown

Title
Recursive Learning of Asymptotic Variational Objectives Alessandro Mastrototaro Mathias Müller Jimmy Olsson 21 0 0 04 Nov 2024
Bayesian Bandit Algorithms with Approximate Inference in Stochastic Linear Bandits Ziyi Huang Henry Lam Haofeng Zhang 33 0 0 20 Jun 2024
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
A Short Survey on Importance Weighting for Machine Learning Masanari Kimura H. Hino 36 5 0 15 Mar 2024
Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders Yaniv Yacoby Weiwei Pan Finale Doshi-Velez DRL 26 0 0 13 Mar 2024
Transport meets Variational Inference: Controlled Monte Carlo Diffusions Francisco Vargas Shreyas Padhy Denis Blessing Nikolas Nusken DiffM OT 47 3 0 03 Jul 2023
On the Difficulty of Unbiased Alpha Divergence Minimization Tomas Geffner Justin Domke 58 18 0 19 Oct 2020