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Joint Stochastic Approximation and Its Application to Learning Discrete
  Latent Variable Models

Joint Stochastic Approximation and Its Application to Learning Discrete Latent Variable Models

28 May 2020
Zhijian Ou
Yunfu Song
    BDL
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Papers citing "Joint Stochastic Approximation and Its Application to Learning Discrete Latent Variable Models"

2 / 2 papers shown
Title
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
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
110
54
0
23 Mar 2020
1