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Mixture weights optimisation for Alpha-Divergence Variational Inference

Mixture weights optimisation for Alpha-Divergence Variational Inference

9 June 2021
Kamélia Daudel
Randal Douc
ArXivPDFHTML

Papers citing "Mixture weights optimisation for Alpha-Divergence Variational Inference"

4 / 4 papers shown
Title
Alpha-divergence Variational Inference Meets Importance Weighted
  Auto-Encoders: Methodology and Asymptotics
Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics
Kamélia Daudel
Joe Benton
Yuyang Shi
Arnaud Doucet
DRL
19
8
0
12 Oct 2022
Optimal Regret Is Achievable with Bounded Approximate Inference Error:
  An Enhanced Bayesian Upper Confidence Bound Framework
Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework
Ziyi Huang
H. Lam
A. Meisami
Haofeng Zhang
36
4
0
31 Jan 2022
On the Difficulty of Unbiased Alpha Divergence Minimization
On the Difficulty of Unbiased Alpha Divergence Minimization
Tomas Geffner
Justin Domke
58
18
0
19 Oct 2020
Variational Inference via $χ$-Upper Bound Minimization
Variational Inference via χχχ-Upper Bound Minimization
Adji Bousso Dieng
Dustin Tran
Rajesh Ranganath
John Paisley
David M. Blei
BDL
81
36
0
01 Nov 2016
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