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2402.10797
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BlackJAX: Composable Bayesian inference in JAX
16 February 2024
Alberto Cabezas
Adrien Corenflos
Junpeng Lao
Rémi Louf
Antoine Carnec
Kaustubh Chaudhari
Reuben Cohn-Gordon
Jeremie Coullon
Wei Deng
Sam Duffield
Gerardo Duran-Martín
Marcin Elantkowski
Dan Foreman-Mackey
Michele Gregori
Carlos Iguaran
Ravin Kumar
Martin Lysy
Kevin P. Murphy
Juan Camilo Orduz
Karm Patel
Xi Wang
Robert Zinkov
DRL
MLAU
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Papers citing
"BlackJAX: Composable Bayesian inference in JAX"
7 / 7 papers shown
CLAX: Fast and Flexible Neural Click Models in JAX
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O. Zoeter
Maarten de Rijke
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05 Nov 2025
Reducing normalizing flow complexity for MCMC preconditioning
David Nabergoj
Erik Štrumbelj
132
0
0
04 Nov 2025
Fisher meets Feynman: score-based variational inference with a product of experts
Diana Cai
Robert Mansel Gower
David M. Blei
Lawrence K. Saul
150
0
0
24 Oct 2025
Efficiently Vectorized MCMC on Modern Accelerators
Hugh Dance
Pierre Glaser
Peter Orbanz
Ryan P. Adams
232
1
0
20 Mar 2025
Geodesic Slice Sampler for Multimodal Distributions with Strong Curvature
Conference on Uncertainty in Artificial Intelligence (UAI), 2025
Bernardo Williams
Hanlin Yu
Hoang Phuc Hau Luu
Georgios Arvanitidis
Arto Klami
313
0
0
28 Feb 2025
Simulation-based inference with the Python Package sbijax
Simon Dirmeier
S. Ulzega
Antonietta Mira
Carlo Albert
251
5
0
28 Sep 2024
Diffusion Generative Modelling for Divide-and-Conquer MCMC
C. Trojan
Paul Fearnhead
C. Nemeth
DiffM
198
1
0
17 Jun 2024
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