Open Problems In Probabilistic Programming

Eli Sennesh is a recent graduate of the PhD

Graphs and Randomness

Graphs and Randomness

Kevin Smith, MIT BMM Summer Course 2018.

Probabilistic programming

Causal

Beyond Randomized Rounding and the

Tutorial talk for the Categorical

This video is a continuation of the previous video, Episode [08x10]. In this video, get a high-level overview of the theory, concepts ...

In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course.

Daniel Roy, University of Toronto https://simons.berkeley.edu/talks/daniel-roy-10-06-2016 Uncertainty in Computation.

Presented by Hongseok Yang. Presented at POPL'20.

This will be a high-level talk discussing the separation of statistical models and inference algorithms. Things we'd like to talk ...

Recording during the thematic meeting : «French Spring School in Theoretical Computer Science» the May 11, 2026 at the Centre ...

Oregon

Fritz Obermeyer Presents:

Join us at - https://discord.com/invite/n8vHbE29tN More videos ...

Pyro is a deep

This talk shows how to make smarter, safer AI that understands the world like we do, using a new symbolic medium that I helped ...