Media Summary: Recording during the thematic meeting : «French Spring School in Theoretical Computer Science» the May 11, 2026 at the Centre ... Chris Heunen, University of Edinburgh Uncertainty in Computation.

Sam Staton Expressive Probabilistic Programming - Detailed Analysis & Overview

Recording during the thematic meeting : «French Spring School in Theoretical Computer Science» the May 11, 2026 at the Centre ... Chris Heunen, University of Edinburgh Uncertainty in Computation.

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Sam Staton: Expressive probabilistic programming :Discrete-time stochastic processes
Probabilistic programming: Bayesian Non-Parametrics and Semantics [1/4] - Sam Staton - OPLSS 2019
Sam Staton, "Names and probabilities"
Tutorial: Probabilistic programming - a categorical tutorial (Sam Staton)
Sam Staton: Categorical models of probability with symmetries
Semantic models for higher-order Bayesian inference - Sam Staton, University of Oxford
Probabilistic programming: Bayesian Non-Parametrics and Semantics [3/4] - Sam Staton - OPLSS 2019
Probabilistic programming: Bayesian Non-Parametrics and Semantics [2/4] - Sam Staton - OPLSS 2019
Probabilistic programming: Bayesian Non-Parametrics and Semantics [4/4] - Sam Staton - OPLSS 2019
Tutorial: Probabilistic Programming
[POPL 2021] Probabilistic Programming Semantics for Name Generation (full)
[LAFI'22] Abstract types in probabilistic programming
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Sam Staton: Expressive probabilistic programming :Discrete-time stochastic processes

Sam Staton: Expressive probabilistic programming :Discrete-time stochastic processes

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

Probabilistic programming: Bayesian Non-Parametrics and Semantics [1/4] - Sam Staton - OPLSS 2019

Probabilistic programming: Bayesian Non-Parametrics and Semantics [1/4] - Sam Staton - OPLSS 2019

Oregon

Sam Staton, "Names and probabilities"

Sam Staton, "Names and probabilities"

27 January 2021 https://www.cl.cam.ac.uk/events/owls/

Tutorial: Probabilistic programming - a categorical tutorial (Sam Staton)

Tutorial: Probabilistic programming - a categorical tutorial (Sam Staton)

Tutorial talk for the Categorical

Sam Staton: Categorical models of probability with symmetries

Sam Staton: Categorical models of probability with symmetries

Talk at the Categorical

Semantic models for higher-order Bayesian inference - Sam Staton, University of Oxford

Semantic models for higher-order Bayesian inference - Sam Staton, University of Oxford

In this talk I will discuss

Probabilistic programming: Bayesian Non-Parametrics and Semantics [3/4] - Sam Staton - OPLSS 2019

Probabilistic programming: Bayesian Non-Parametrics and Semantics [3/4] - Sam Staton - OPLSS 2019

Oregon

Probabilistic programming: Bayesian Non-Parametrics and Semantics [2/4] - Sam Staton - OPLSS 2019

Probabilistic programming: Bayesian Non-Parametrics and Semantics [2/4] - Sam Staton - OPLSS 2019

Oregon

Probabilistic programming: Bayesian Non-Parametrics and Semantics [4/4] - Sam Staton - OPLSS 2019

Probabilistic programming: Bayesian Non-Parametrics and Semantics [4/4] - Sam Staton - OPLSS 2019

Oregon

Tutorial: Probabilistic Programming

Tutorial: Probabilistic Programming

Probabilistic programming

[POPL 2021] Probabilistic Programming Semantics for Name Generation (full)

[POPL 2021] Probabilistic Programming Semantics for Name Generation (full)

Michael Wolman (McGill University)

[LAFI'22] Abstract types in probabilistic programming

[LAFI'22] Abstract types in probabilistic programming

Title:[LAFI'22] Abstract types in

Semantic Foundations for Probabilistic Programming

Semantic Foundations for Probabilistic Programming

Chris Heunen, University of Edinburgh https://simons.berkeley.edu/talks/chris-heunen-2016-10-07 Uncertainty in Computation.