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Scalable Bayesian Learning for State Space Models using Variational
  Inference with SMC Samplers

Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers

23 May 2018
Marcel Hirt
P. Dellaportas
    BDL
ArXivPDFHTML

Papers citing "Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers"

2 / 2 papers shown
Title
Differentiable Particle Filtering via Entropy-Regularized Optimal
  Transport
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport
Adrien Corenflos
James Thornton
George Deligiannidis
Arnaud Doucet
OT
41
66
0
15 Feb 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
1