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Graphical model inference: Sequential Monte Carlo meets deterministic
  approximations

Graphical model inference: Sequential Monte Carlo meets deterministic approximations

8 January 2019
Fredrik Lindsten
Jouni Helske
M. Vihola
ArXivPDFHTML

Papers citing "Graphical model inference: Sequential Monte Carlo meets deterministic approximations"

5 / 5 papers shown
Title
Maximum a Posteriori Estimation in Graphical Models Using Local Linear
  Approximation
Maximum a Posteriori Estimation in Graphical Models Using Local Linear Approximation
K. Sagar
J. Datta
Sayantan Banerjee
A. Bhadra
24
2
0
13 Mar 2023
Nonlinear System Identification: Learning while respecting physical
  models using a sequential Monte Carlo method
Nonlinear System Identification: Learning while respecting physical models using a sequential Monte Carlo method
A. Wigren
Johan Wågberg
Fredrik Lindsten
A. Wills
Thomas B. Schon
24
10
0
26 Oct 2022
SIXO: Smoothing Inference with Twisted Objectives
SIXO: Smoothing Inference with Twisted Objectives
Dieterich Lawson
Allan Raventós
Andrew Warrington
Scott W. Linderman
BDL
13
15
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
121
54
0
23 Mar 2020
Particle Smoothing Variational Objectives
Particle Smoothing Variational Objectives
A. Moretti
Zizhao Wang
Luhuan Wu
Iddo Drori
I. Pe’er
16
10
0
20 Sep 2019
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