Jan Kudlicka: Probabilistic Programming for birth-death models of evolution...

Yuan Zhou: Divide, Conquer, Combine: a New Inference Strategy...with Stochastic Support

Ekansh Sharma

Kinjal Shah: Bean Machine

Steven Holzen

Panel: Probabilistic Programming in the Field - Bayesian Data Modeling

Panel discussion: Complex simulators & potential industry applications of probabilistic programming

Robert Osazuwa Ness: "Towards causal inference with latent variable models and programs"

Maria Gorinova: "Efficient inference with discrete parameters in Stan"

Ben Zinberg: "Structured, differentiable models of 3D scenes via Generative Scene Graphs"

Zenna Tavares: "A Language for Counterfactual Generative Models"

Avi Bryant

Guangyao Zhou

Yura Perov: "MultiVerse: Causal Reasoning in Probabilistic Programming using Importance Sampling"

Hugo Paquet: "Densities of almost-surely terminating probabilistic programs are differentiable..."

Daniel Ritchie: "Learning Neurosymbolic 3D Models"

Leslie Kaelbling: "Doing for our robots what nature did for us"

David Chiang:"Translating Recursive Probabilistic Programs to Factor Graph Grammars"

Christine Tasson: "Probabilistic Programming and Semantics"

Guy van den Broeck

Iris Seaman: "Nested reasoning about autonomous agents using probabilistic programs"

Zoubin Ghahramani: "Probabilistic Machine Learning: From theory to industrial impact"

Angelika Kimmig: "A short introduction to probabilistic logic programming"

Brooks Paige: "Semi-interpretable probabilistic models"

Dan Roy: "Algorithmic Barriers to Representing Conditional Independence"

Kristian Kersting: "Democratizing Machine Learning using Probabilistic Programming"

Michael Tingley: "Probabilistic programming @ FB"

Eric Atkinson: "Verifying Handcoded Probabilistic Inference Procedures"

Adam Scibior: "Denotational account of approximate Bayesian inference"

Chung-Chieh Shan: "Calculating distributions"