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Stochastic Variational Inference for Hidden Markov Models

Stochastic Variational Inference for Hidden Markov Models

6 November 2014
N. Foti
Jason Xu
Dillon Laird
E. Fox
    BDL
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Papers citing "Stochastic Variational Inference for Hidden Markov Models"

8 / 8 papers shown
Title
Parameter Estimation in DAGs from Incomplete Data via Optimal Transport
Parameter Estimation in DAGs from Incomplete Data via Optimal Transport
Vy Vo
Trung Le
L. Vuong
He Zhao
Edwin V. Bonilla
Dinh Q. Phung
OT
23
4
0
25 May 2023
Divide-and-Conquer Bayesian Inference in Hidden Markov Models
Divide-and-Conquer Bayesian Inference in Hidden Markov Models
Chunlei Wang
Sanvesh Srivastava
33
9
0
30 May 2021
The Neural Moving Average Model for Scalable Variational Inference of
  State Space Models
The Neural Moving Average Model for Scalable Variational Inference of State Space Models
Tom Ryder
D. Prangle
Andrew Golightly
Isaac Matthews
BDL
AI4TS
16
6
0
02 Oct 2019
Advances in Variational Inference
Advances in Variational Inference
Cheng Zhang
Judith Butepage
Hedvig Kjellström
Stephan Mandt
BDL
38
684
0
15 Nov 2017
Deep Probabilistic Programming
Deep Probabilistic Programming
Dustin Tran
Matthew D. Hoffman
Rif A. Saurous
E. Brevdo
Kevin Patrick Murphy
David M. Blei
BDL
36
193
0
13 Jan 2017
Edward: A library for probabilistic modeling, inference, and criticism
Edward: A library for probabilistic modeling, inference, and criticism
Dustin Tran
A. Kucukelbir
Adji Bousso Dieng
Maja R. Rudolph
Dawen Liang
David M. Blei
16
300
0
31 Oct 2016
Recurrent switching linear dynamical systems
Recurrent switching linear dynamical systems
Scott W. Linderman
Andrew C. Miller
Ryan P. Adams
David M. Blei
Liam Paninski
Matthew J. Johnson
36
69
0
26 Oct 2016
Variational Inference: A Review for Statisticians
Variational Inference: A Review for Statisticians
David M. Blei
A. Kucukelbir
Jon D. McAuliffe
BDL
41
4,710
0
04 Jan 2016
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