On Iteration in Discrete Probabilistic Programming (LAFI 2023) - POPL 2023

Sun 15 - Sat 21 January 2023 Boston, Massachusetts, United States

Who

Mateo Torres-Ruiz, Robin Piedeleu, Alexandra Silva, Fabio Zanasi

Track

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When

Sun 15 Jan 2023 12:15 - 12:20 at Scollay - Second Session Chair(s): Steven Holtzen, Christine Tasson

Abstract

While the semantics of standard programming constructs is well understood in the context of exact inference for probabilistic programs, its extension to unbounded loops has been absent, even though the need for specifying a distribution that is reached after an unknown number of computations arises naturally in different scenarios. We tackle the problem of efficient iteration in the context of discrete probabilistic programs by expanding an existing probabilistic programming language with two semantically different ways in which a probabilistic expression could be iterated, while keeping the ability to perform exact inference on the whole program.

File attachments

On Iteration in Discrete Probabilistic Programming (lafi23-final46.pdf)	340KiB

Mateo Torres-RuizAuthor

Robin Piedeleu

University of Oxford

Alexandra Silva

Cornell University

United States

Fabio Zanasi

University College London

Time Zone

The program is currently displayed in (GMT-05:00) Eastern Time (US & Canada).

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Time Band

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Session Program

Sun 15 Jan
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	11:00 - 12:30	Second SessionLAFI at Scollay Chair(s): Steven Holtzen Northeastern University, Christine Tasson Sorbonne Université — LIP6

	11:00 20m Talk		What do posterior distributions of probabilistic programs look like?Boston LAFI Mathieu Huot University of Oxford, A: Alexander K. Lew Massachusetts Institute of Technology, Vikash K. Mansinghka Massachusetts Institute of Technology, Sam Staton University of Oxford File Attached
	11:20 10m Talk		Semantics of Probabilistic Program TracesBoston LAFI Alexander K. Lew Massachusetts Institute of Technology, A: Eli Sennesh Northeastern University, Jan-Willem Van De Meent University of Amsterdam, Vikash Mansinghka Massachusetts Institute of Technology File Attached
	11:30 10m Talk		A convenient category of tracing measure kernelsBoston LAFI A: Eli Sennesh Northeastern University, Jan-Willem Van De Meent University of Amsterdam File Attached
	11:45 5m Talk		Random probability distributions as natural transformationsParis LAFI A: Victor Blanchi ENS Paris, Hugo Paquet University of Oxford File Attached
	11:50 5m Talk		Static Delayed Sampling for Probabilistic Programming LanguagesParis LAFI A: Gizem Caylak KTH Royal Institute of Technology, Daniel Lundén KTH Royal Institute of Technology, Viktor Senderov Naturhistoriska riksmuseet, David Broman KTH Royal Institute of Technology
	11:55 5m Talk		Denotational semantics of languages for inference: semirings, monads, and tensorsOnline LAFI Cristina Matache University of Edinburgh, A: Sean Moss University of Oxford, Sam Staton University of Oxford, Ariadne Si Suo University of Oxford
	12:10 5m Talk		Separated and Shared Effects in Higher-Order LanguagesBoston LAFI A: Pedro Henrique Azevedo de Amorim Cornell University, Justin Hsu Cornell University
	12:15 5m Talk		On Iteration in Discrete Probabilistic ProgrammingBoston LAFI A: Mateo Torres-Ruiz , Robin Piedeleu University of Oxford, Alexandra Silva Cornell University, Fabio Zanasi University College London File Attached
	12:20 5m Talk		Bit-Blasting Probabilistic ProgramsBoston LAFI A: Poorva Garg University of California, Los Angeles, Steven Holtzen Northeastern University, Guy Van den Broeck University of California at Los Angeles, Todd Millstein University of California at Los Angeles File Attached
	12:25 5m Talk		πMPC: Automatic Security Proofs for MPC ProtocolsBoston LAFI A: Mako P. Bates University of Vermont, Joseph P. Near University of Vermont