Media Summary: Chris Heunen, University of Edinburgh Uncertainty in Computation. ILP 2021 Damiano Azzolini, Fabrizio Riguzzi and Evelina Lamma A Eli Sennesh is a recent graduate of the PhD program in computer science at Northeastern, in which I (Max) and many other BCC ...

Semantic Foundations For Probabilistic Programming - Detailed Analysis & Overview

Chris Heunen, University of Edinburgh Uncertainty in Computation. ILP 2021 Damiano Azzolini, Fabrizio Riguzzi and Evelina Lamma A Eli Sennesh is a recent graduate of the PhD program in computer science at Northeastern, in which I (Max) and many other BCC ... Christine Tasson: Semantics for Probabilistic Programming In 1854 George Boole published The Laws of Thought, and established Boolean algebra. Less well known is that half of this book ... Recorded at the ML in PL 2019 Conference, the University of Warsaw, 22-24 November 2019. Martin Jankowiak (Uber AI Labs) ...

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

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Semantic Foundations for Probabilistic Programming
Causal Probabilistic Programming: Automating Reasoning In Simulation Models
IJCLR 2021 - ILP -  A Semantics for Hybrid Probabilistic Logic Programs with Function Symbols
Open Problems in Probabilistic Programming Semantics with Eli Sennesh
Probabilistic programming: Bayesian Non-Parametrics and Semantics [1/4] - Sam Staton - OPLSS 2019
[LAFI'26] Semantic Foundations for Laziness in Discrete Probabilistic Programming
An overview of probabilistic programming in Julia
Semantic models for higher-order Bayesian inference - Sam Staton, University of Oxford
Christine Tasson: Introduction to probabilistic programming
Christine Tasson: Semantics for Probabilistic Programming
Tutorial: Probabilistic Programming and Semantics (Christine Tasson)
Ohad Kammar - Semantic foundations for type-driven probabilistic modeling
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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.

Causal Probabilistic Programming: Automating Reasoning In Simulation Models

Causal Probabilistic Programming: Automating Reasoning In Simulation Models

Causal

IJCLR 2021 - ILP -  A Semantics for Hybrid Probabilistic Logic Programs with Function Symbols

IJCLR 2021 - ILP - A Semantics for Hybrid Probabilistic Logic Programs with Function Symbols

ILP@IJCLR 2021 Damiano Azzolini, Fabrizio Riguzzi and Evelina Lamma A

Open Problems in Probabilistic Programming Semantics with Eli Sennesh

Open Problems in Probabilistic Programming Semantics with Eli Sennesh

Eli Sennesh is a recent graduate of the PhD program in computer science at Northeastern, in which I (Max) and many other BCC ...

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

[LAFI'26] Semantic Foundations for Laziness in Discrete Probabilistic Programming

[LAFI'26] Semantic Foundations for Laziness in Discrete Probabilistic Programming

Semantic Foundations

An overview of probabilistic programming in Julia

An overview of probabilistic programming in Julia

An overview of

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

Christine Tasson: Introduction to probabilistic programming

Christine Tasson: Introduction to probabilistic programming

Probabilistic programming

Christine Tasson: Semantics for Probabilistic Programming

Christine Tasson: Semantics for Probabilistic Programming

Christine Tasson: Semantics for Probabilistic Programming

Tutorial: Probabilistic Programming and Semantics (Christine Tasson)

Tutorial: Probabilistic Programming and Semantics (Christine Tasson)

Tutorial talk for the Categorical

Ohad Kammar - Semantic foundations for type-driven probabilistic modeling

Ohad Kammar - Semantic foundations for type-driven probabilistic modeling

Talk at Mathematical

Probabilistic Programming - FOUNDATIONS & COMPREHENSIVE REVIEW!

Probabilistic Programming - FOUNDATIONS & COMPREHENSIVE REVIEW!

This tutorial explains what is

Tutorial: Probabilistic Programming

Tutorial: Probabilistic Programming

Probabilistic programming

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

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

Tutorial talk for the Categorical

"Probabilistic Programs Which Make (Common) Sense" by Zenna Tavares

"Probabilistic Programs Which Make (Common) Sense" by Zenna Tavares

In 1854 George Boole published The Laws of Thought, and established Boolean algebra. Less well known is that half of this book ...

Martin Jankowiak - Brief Introduction to Probabilistic Programming

Martin Jankowiak - Brief Introduction to Probabilistic Programming

Recorded at the ML in PL 2019 Conference, the University of Warsaw, 22-24 November 2019. Martin Jankowiak (Uber AI Labs) ...

Tutorial: Probabilistic Programming

Tutorial: Probabilistic Programming

Kevin Smith, MIT BMM Summer Course 2018.

AI That Understands the World, Using Probabilistic Programming | Vikash Mansinghka | TEDxMIT

AI That Understands the World, Using Probabilistic Programming | Vikash Mansinghka | TEDxMIT

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