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Self-reinforced polynomial approximation methods for concentrated
  probability densities

Self-reinforced polynomial approximation methods for concentrated probability densities

5 March 2023
Tiangang Cui
S. Dolgov
O. Zahm
ArXivPDFHTML

Papers citing "Self-reinforced polynomial approximation methods for concentrated probability densities"

4 / 4 papers shown
Title
Sequential transport maps using SoS density estimation and
  $α$-divergences
Sequential transport maps using SoS density estimation and ααα-divergences
Benjamin Zanger
Tiangang Cui
Martin Schreiber
O. Zahm
33
1
0
27 Feb 2024
Tractable Optimal Experimental Design using Transport Maps
Tractable Optimal Experimental Design using Transport Maps
Karina Koval
Roland Herzog
Robert Scheichl
OT
13
9
0
15 Jan 2024
Tensor-train methods for sequential state and parameter learning in
  state-space models
Tensor-train methods for sequential state and parameter learning in state-space models
Yiran Zhao
Tiangang Cui
24
2
0
24 Jan 2023
Deep importance sampling using tensor trains with application to a
  priori and a posteriori rare event estimation
Deep importance sampling using tensor trains with application to a priori and a posteriori rare event estimation
Tiangang Cui
S. Dolgov
Robert Scheichl
35
3
0
05 Sep 2022
1