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Building faster and more expressive BART models

Sameer Deshpande

University of Wisconsin-Madison

January 14, 2026 • 12:00 AM

Nonparametric Bayesian Inference - Computational Issues

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Dynamic Random Partitions: Applications, Opportunities, and Challenges

Michele Guindani

University of California, Irvine

January 14, 2026 • 12:00 AM

Nonparametric Bayesian Inference - Computational Issues

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Fast non-reversible samplers for Bayesian mixture models

Filippo Ascolani

Duke University

January 14, 2026 • 12:00 AM

Nonparametric Bayesian Inference - Computational Issues

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Recursive estimation for mixtures or why zooming out is a good idea

Bernardo Flores

The University of Texas at Austin

January 14, 2026 • 12:00 AM

Nonparametric Bayesian Inference - Computational Issues

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Bayesian Mixture Models for Histograms with Applications to Large Datasets

Fernando Quintana

Pontifical Catholic University of Chile

January 13, 2026 • 12:00 AM

Nonparametric Bayesian Inference - Computational Issues

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Hierarchical Random Measures without Tables

Marta Catalano

Luiss University

January 13, 2026 • 12:00 AM

Nonparametric Bayesian Inference - Computational Issues

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Completely random measures on the non-negative orthant: Bayesian nonparamet...

Yunyi Shen

MIT

January 13, 2026 • 12:00 AM

Nonparametric Bayesian Inference - Computational Issues

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Subjective Exchangeable Partition Priors via Integer Partitions

David Dahl

Brigham Young University

January 13, 2026 • 12:00 AM

Nonparametric Bayesian Inference - Computational Issues

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Beyond Schrödinger Bridges for Learning Trajectories from Snapshots

Renato Berlinghieri

MIT

January 13, 2026 • 12:00 AM

Nonparametric Bayesian Inference - Computational Issues

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Exact Gibbs sampling for SDEs with unit diffusion coefficient

VInayak Rao

Purdue University

January 12, 2026 • 12:00 AM

Nonparametric Bayesian Inference - Computational Issues

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Scaling Up Bayesian Neural Networks with Neural Networks

Babak Shahbaba

University of California - Irvine

January 12, 2026 • 12:00 AM

Nonparametric Bayesian Inference - Computational Issues

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Truncated Posterior Inference for Bayesian Nonparametrics

Trevor Campbell

The University of British Columbia

January 12, 2026 • 12:00 AM

Nonparametric Bayesian Inference - Computational Issues

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Video Archive

Building faster and more expressive BART models

Dynamic Random Partitions: Applications, Opportunities, and Challenges

Fast non-reversible samplers for Bayesian mixture models

Recursive estimation for mixtures or why zooming out is a good idea

Bayesian Mixture Models for Histograms with Applications to Large Datasets

Hierarchical Random Measures without Tables

Completely random measures on the non-negative orthant: Bayesian nonparamet...

Subjective Exchangeable Partition Priors via Integer Partitions

Beyond Schrödinger Bridges for Learning Trajectories from Snapshots

Exact Gibbs sampling for SDEs with unit diffusion coefficient

Scaling Up Bayesian Neural Networks with Neural Networks

Truncated Posterior Inference for Bayesian Nonparametrics

Video Archive

Building faster and more expressive BART models

Dynamic Random Partitions: Applications, Opportunities, and Challenges

Fast non-reversible samplers for Bayesian mixture models

Recursive estimation for mixtures or why zooming out is a good idea

Bayesian Mixture Models for Histograms with Applications to Large Datasets

Hierarchical Random Measures without Tables

Completely random measures on the non-negative orthant: Bayesian nonparamet...

Subjective Exchangeable Partition Priors via Integer Partitions

Beyond Schrödinger Bridges for Learning Trajectories from Snapshots

Exact Gibbs sampling for SDEs with unit diffusion coefficient

Scaling Up Bayesian Neural Networks with Neural Networks

Truncated Posterior Inference for Bayesian Nonparametrics