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Variational Inference with Tail-adaptive f-Divergence

Variational Inference with Tail-adaptive f-Divergence

29 October 2018
Dilin Wang
Hao Liu
Qiang Liu
ArXivPDFHTML

Papers citing "Variational Inference with Tail-adaptive f-Divergence"

12 / 12 papers shown
Title
A Heavy-Tailed Algebra for Probabilistic Programming
A Heavy-Tailed Algebra for Probabilistic Programming
Feynman T. Liang
Liam Hodgkinson
Michael W. Mahoney
20
3
0
15 Jun 2023
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
GFlowNets and variational inference
GFlowNets and variational inference
Nikolay Malkin
Salem Lahlou
T. Deleu
Xu Ji
J. E. Hu
Katie Everett
Dinghuai Zhang
Yoshua Bengio
BDL
134
77
0
02 Oct 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
Jacob R. Gardner
Adji Bousso Dieng
Hongseok Kim
BDL
37
8
0
13 Jun 2022
Multiple Importance Sampling ELBO and Deep Ensembles of Variational
  Approximations
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations
Oskar Kviman
Harald Melin
Hazal Koptagel
Victor Elvira
J. Lagergren
DRL
75
17
0
22 Feb 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
AlphaNet: Improved Training of Supernets with Alpha-Divergence
AlphaNet: Improved Training of Supernets with Alpha-Divergence
Dilin Wang
Chengyue Gong
Meng Li
Qiang Liu
Vikas Chandra
155
44
0
16 Feb 2021
VarGrad: A Low-Variance Gradient Estimator for Variational Inference
VarGrad: A Low-Variance Gradient Estimator for Variational Inference
Lorenz Richter
Ayman Boustati
Nikolas Nusken
Francisco J. R. Ruiz
Ömer Deniz Akyildiz
DRL
138
48
0
20 Oct 2020
All in the Exponential Family: Bregman Duality in Thermodynamic
  Variational Inference
All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference
Rob Brekelmans
Vaden Masrani
Frank Wood
Greg Ver Steeg
Aram Galstyan
19
16
0
01 Jul 2020
Infinite-dimensional gradient-based descent for alpha-divergence
  minimisation
Infinite-dimensional gradient-based descent for alpha-divergence minimisation
Kamélia Daudel
Randal Douc
Franccois Portier
21
17
0
20 May 2020
Generalized Bayesian Filtering via Sequential Monte Carlo
Generalized Bayesian Filtering via Sequential Monte Carlo
Ayman Boustati
Ömer Deniz Akyildiz
Theodoros Damoulas
A. M. Johansen
30
4
0
23 Feb 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,156
0
06 Jun 2015
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