posteriordb: Testing, Benchmarking and Developing Bayesian Inference
Algorithms

posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms

6 July 2024

Måns Magnusson

Jakob Torgander

Paul-Christian Burkner

Papers citing "posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms"

7 / 7 papers shown

Title
Empirical evaluation of normalizing flows in Markov Chain Monte Carlo David Nabergoj Erik Štrumbelj BDL TPM 31 0 0 22 Dec 2024
Predictive variational inference: Learn the predictively optimal posterior distribution Jinlin Lai Yuling Yao BDL 21 0 0 18 Oct 2024
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix C. Margossian Lawrence K. Saul 26 1 0 14 Oct 2024
Grand Challenges in Bayesian Computation Anirban Bhattacharya Antonio Linero Chris. J. Oates 16 2 0 01 Oct 2024
SoftCVI: Contrastive variational inference with self-generated soft labels Daniel Ward Mark Beaumont Matteo Fasiolo BDL 27 0 0 22 Jul 2024
Delayed rejection Hamiltonian Monte Carlo for sampling multiscale distributions Chirag Modi A. Barnett Bob Carpenter 21 14 0 01 Oct 2021
Pathfinder: Parallel quasi-Newton variational inference Lu Zhang Bob Carpenter A. Gelman Aki Vehtari 38 39 0 09 Aug 2021