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Reweighted Expectation Maximization

Reweighted Expectation Maximization

13 June 2019
Adji Bousso Dieng
John Paisley
    VLM
    DRL
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Papers citing "Reweighted Expectation Maximization"

8 / 8 papers shown
Title
Bridge the Inference Gaps of Neural Processes via Expectation Maximization
Bridge the Inference Gaps of Neural Processes via Expectation Maximization
Q. Wang
Marco Federici
H. V. Hoof
UQCV
BDL
54
13
0
08 Jan 2025
U-Statistics for Importance-Weighted Variational Inference
U-Statistics for Importance-Weighted Variational Inference
Javier Burroni
Kenta Takatsu
Justin Domke
Daniel Sheldon
18
1
0
27 Feb 2023
Transport Score Climbing: Variational Inference Using Forward KL and
  Adaptive Neural Transport
Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural Transport
Liyi Zhang
David M. Blei
C. A. Naesseth
30
6
0
03 Feb 2022
Generative Text Modeling through Short Run Inference
Generative Text Modeling through Short Run Inference
Bo Pang
Erik Nijkamp
Tian Han
Ying Nian Wu
SyDa
BDL
DRL
36
5
0
27 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
123
54
0
23 Mar 2020
Amortised Learning by Wake-Sleep
Amortised Learning by Wake-Sleep
W. Li
Theodore H. Moskovitz
Heishiro Kanagawa
M. Sahani
OOD
23
7
0
22 Feb 2020
Prescribed Generative Adversarial Networks
Prescribed Generative Adversarial Networks
Adji Bousso Dieng
Francisco J. R. Ruiz
David M. Blei
Michalis K. Titsias
GAN
DRL
27
61
0
09 Oct 2019
Effective Estimation of Deep Generative Language Models
Effective Estimation of Deep Generative Language Models
Tom Pelsmaeker
Wilker Aziz
BDL
29
27
0
17 Apr 2019
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