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Fat-Tailed Variational Inference with Anisotropic Tail Adaptive Flows

Fat-Tailed Variational Inference with Anisotropic Tail Adaptive Flows

16 May 2022
Feynman T. Liang
Liam Hodgkinson
Michael W. Mahoney
ArXivPDFHTML

Papers citing "Fat-Tailed Variational Inference with Anisotropic Tail Adaptive Flows"

8 / 8 papers shown
Title
Preferential Normalizing Flows
Preferential Normalizing Flows
Petrus Mikkola
Luigi Acerbi
Arto Klami
33
1
0
11 Oct 2024
posteriordb: Testing, Benchmarking and Developing Bayesian Inference
  Algorithms
posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms
Måns Magnusson
Jakob Torgander
Paul-Christian Bürkner
Lu Zhang
Bob Carpenter
Aki Vehtari
42
6
0
06 Jul 2024
Flexible Tails for Normalizing Flows
Flexible Tails for Normalizing Flows
Tennessee Hickling
Dennis Prangle
33
0
0
22 Jun 2024
On the Challenges and Opportunities in Generative AI
On the Challenges and Opportunities in Generative AI
Laura Manduchi
Kushagra Pandey
Robert Bamler
Ryan Cotterell
Sina Daubener
...
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
Vincent Fortuin
56
17
0
28 Feb 2024
Stable Training of Normalizing Flows for High-dimensional Variational
  Inference
Stable Training of Normalizing Flows for High-dimensional Variational Inference
Daniel Andrade
BDL
TPM
43
1
0
26 Feb 2024
Flexible Tails for Normalising Flows, with Application to the Modelling
  of Financial Return Data
Flexible Tails for Normalising Flows, with Application to the Modelling of Financial Return Data
Tennessee Hickling
Dennis Prangle
18
4
0
01 Nov 2023
A Heavy-Tailed Algebra for Probabilistic Programming
A Heavy-Tailed Algebra for Probabilistic Programming
Feynman T. Liang
Liam Hodgkinson
Michael W. Mahoney
18
3
0
15 Jun 2023
Machine Learning and the Future of Bayesian Computation
Machine Learning and the Future of Bayesian Computation
Steven Winter
Trevor Campbell
Lizhen Lin
Sanvesh Srivastava
David B. Dunson
TPM
45
4
0
21 Apr 2023
1