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On the Difficulty of Unbiased Alpha Divergence Minimization

On the Difficulty of Unbiased Alpha Divergence Minimization

19 October 2020
Tomas Geffner
Justin Domke
ArXivPDFHTML

Papers citing "On the Difficulty of Unbiased Alpha Divergence Minimization"

8 / 8 papers shown
Title
Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs
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
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
11
8
0
12 Oct 2022
Path-Gradient Estimators for Continuous Normalizing Flows
Path-Gradient Estimators for Continuous Normalizing Flows
Lorenz Vaitl
K. Nicoli
Shinichi Nakajima
Pan Kessel
14
13
0
17 Jun 2022
Markov Chain Score Ascent: A Unifying Framework of Variational Inference
  with Markovian Gradients
Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients
Kyurae Kim
Jisu Oh
J. Gardner
Adji Bousso Dieng
Hongseok Kim
BDL
24
8
0
13 Jun 2022
User-friendly introduction to PAC-Bayes bounds
User-friendly introduction to PAC-Bayes bounds
Pierre Alquier
FedML
48
196
0
21 Oct 2021
Empirical Evaluation of Biased Methods for Alpha Divergence Minimization
Empirical Evaluation of Biased Methods for Alpha Divergence Minimization
Tomas Geffner
Justin Domke
22
9
0
13 May 2021
Markovian Score Climbing: Variational Inference with KL(p||q)
Markovian Score Climbing: Variational Inference with KL(p||q)
C. A. Naesseth
Fredrik Lindsten
David M. Blei
115
54
0
23 Mar 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
1