Probabilistic Call By Push Value Information Guide

  1. Overview to Probabilistic Call By Push Value
  2. Important Facts
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  4. Detailed Analysis
  5. Summary

Overview to Probabilistic Call By Push Value

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Important Facts

Full [OOPSLA24] Effects and Coeffects in Call-By-Push-Value Update
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Developments

Full [Scheme'26] A Call-by-push-value Scheme News
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[Doctoral Symposium] Towards a Verified Cost Model for Call-by-Push-Value
[Doctoral Symposium] Towards a Verified Cost Model for Call-by-Push-Value
[HOPE'22]  Temporal refinements for Call-By-Push-Value with fixpoint
[HOPE'22] Temporal refinements for Call-By-Push-Value with fixpoint
Abstractions in call-by-push-value
Abstractions in call-by-push-value
Christine Tasson: Semantics for Probabilistic Programming
Christine Tasson: Semantics for Probabilistic Programming
[POPL 2021] Paradoxes of probabilistic programming (full)
[POPL 2021] Paradoxes of probabilistic programming (full)
[08x11] What is Probabilistic Programming
[08x11] What is Probabilistic Programming
[POPL 2021] Relatively Complete Verification of Probabilistic Programs (full)
[POPL 2021] Relatively Complete Verification of Probabilistic Programs (full)
CAV 2020 Tutorial: Probabilistic Programming: A Guide for Verificationists
CAV 2020 Tutorial: Probabilistic Programming: A Guide for Verificationists
[OOPSLA'25] Denotational Foundations for Expected Cost Analysis
[OOPSLA'25] Denotational Foundations for Expected Cost Analysis
Martin Jankowiak - Brief Introduction to Probabilistic Programming
Martin Jankowiak - Brief Introduction to Probabilistic Programming
Automatic Reparameterisation of Probabilistic Programs
Automatic Reparameterisation of Probabilistic Programs

Detailed Analysis

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Last Updated: October 19, 2026

Summary

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Summary

Christine Tasson, Université Paris Diderot simons.berkeley.edu/talks/christine-tasson-12-08-2016 Compositionality. icfp20.sigplan.org/details/hope-2020-papers/8/Variants-of- Lambda-calculus is a fundamental model of computation. It provides a foundation for functional programming. Therefore ... amzn.to/4aLHbLD You're literally one away from a better setup — grab it now! As an Amazon Associate I earn ... Jules Jacobs (Radboud University Nijmegen) Paper: dl.acm.org/doi/pdf/10.1145/3434339 Abstract This video is a continuation of the previous video, Episode [08x10]. In this video, get a high-level overview of the theory, concepts ... Kevin Batz (RWTH Aachen University) Benjamin Lucien Kaminski (RWTH Aachen University, Germany) Joost-Pieter Katoen ... Session 1B: CAV 2020 Tutorial B, Chair: Shuvendu Lahiri Speaker: Sriram Sankaranarayanan Denotational Foundations for Expected Cost Analysis (Video, OOPSLA1 2025) Pedro H. Azevedo de Amorim (University of Oxford ... Recorded at the ML in PL 2019 Conference, the University of Warsaw, 22-24 November 2019. Martin Jankowiak (Uber AI Labs) ... Abstract from Maria: Markov chain Monte Carlo (MCMC) algorithms can be used to approximate a

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