Open Problems In Probabilistic Programming Semantics With Eli Sennesh

Media Summary: Workshop on Software Correctness and Reliability 2017 Chris Heunen, University of Edinburgh Uncertainty in Computation. Presented at the joint PPS-PIHOC-DIAPASoN Workshop 2021.

Open Problems In Probabilistic Programming Semantics With Eli Sennesh - Detailed Analysis & Overview

Workshop on Software Correctness and Reliability 2017 Chris Heunen, University of Edinburgh Uncertainty in Computation. Presented at the joint PPS-PIHOC-DIAPASoN Workshop 2021. Daniel Roy, University of Toronto Uncertainty in Computation. This video is a continuation of the previous video, Episode [08x10]. In this video, get a high-level overview of the theory, concepts ... Presented by Fredrik Dahlqvist. Presented at POPL'20.

"Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm" Session 1B: CAV 2020 Tutorial B, Chair: Shuvendu Lahiri Speaker: Sriram Sankaranarayanan

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Open Problems in Probabilistic Programming Semantics with Eli Sennesh

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Open Problems in Probabilistic Programming Semantics with Eli Sennesh

Open Problems in Probabilistic Programming Semantics with Eli Sennesh

Eli Sennesh

Predictable Probabilistic Programming by Deductive Verification - Joost-Pieter Katoen

Predictable Probabilistic Programming by Deductive Verification - Joost-Pieter Katoen

Workshop on Software Correctness and Reliability 2017

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

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

Semantic

Chris Rackauckas Integrating solvers w/ probabilistic programming through differentiable programming

Chris Rackauckas Integrating solvers w/ probabilistic programming through differentiable programming

... an ode

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.

Alex Lew presents on Probabilistic Programming with Correct-by-Construction Densities

Alex Lew presents on Probabilistic Programming with Correct-by-Construction Densities

Presented at the joint PPS-PIHOC-DIAPASoN Workshop 2021.

A Personal Viewpoint on Probabilistic Programming

A Personal Viewpoint on Probabilistic Programming

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

[08x11] What is Probabilistic Programming?

[08x11] What is Probabilistic Programming?

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

Probabilistic Programming: What It Is and How It Works - Noel Welsh

Probabilistic Programming: What It Is and How It Works - Noel Welsh

Probabilistic programming

Tutorial: Probabilistic Programming

Tutorial: Probabilistic Programming

Probabilistic programming

Fritz Obermeyer - Probabilistic Programming and Readable Models | PyData Yerevan 2022

Fritz Obermeyer - Probabilistic Programming and Readable Models | PyData Yerevan 2022

Fritz Obermeyer Presents:

AI-901 - Path 1, Episode 2 - How probability powers LLMs and agents

AI-901 - Path 1, Episode 2 - How probability powers LLMs and agents

The first path of the AI-901 course (https://learn.microsoft.com/en-us/training/courses/ai-901t00) .

[LAFI'23] Semantics of Probabilistic Program Traces

[LAFI'23] Semantics of Probabilistic Program Traces

[LAFI'23]

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

Open Problems 1

Open Problems 1

Beyond Randomized Rounding and the

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Reasoning about Probabilistic Programs - Justin Hsu [1/4]

Oregon

Semantics of Higher-Order Probabilistic Programs with Conditioning

Semantics of Higher-Order Probabilistic Programs with Conditioning

Presented by Fredrik Dahlqvist. Presented at POPL'20.

Probabilistic Programming with Densities in SlicStan: Efficient, Flexible and Deterministic

Probabilistic Programming with Densities in SlicStan: Efficient, Flexible and Deterministic

Paper and supplementary material: ...

ActInf ModelStream 016.1: Eli Sennesh and Tommaso Salvatori "Divide-and-Conquer Predictive Coding"

ActInf ModelStream 016.1: Eli Sennesh and Tommaso Salvatori "Divide-and-Conquer Predictive Coding"

"Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm" https://www.arxiv.org/abs/2408.05834 ...

CAV 2020 Tutorial: Probabilistic Programming: A Guide for Verificationists

CAV 2020 Tutorial: Probabilistic Programming: A Guide for Verificationists

Session 1B: CAV 2020 Tutorial B, Chair: Shuvendu Lahiri Speaker: Sriram Sankaranarayanan