POPL 2025
Sun 19 - Sat 25 January 2025 Denver, Colorado, United States

This program is tentative and subject to change.

Thu 23 Jan 2025 11:20 - 11:40 at Marco Polo - Probabilistic Programming 2

Constructive type theory combines logic and programming in one language. This is useful both for reasoning about programs written in type theory, as well as for reasoning about other programming languages inside type theory. It is well-known that it is challenging to extend these applications to languages with recursion and computational effects such as probabilistic choice, because these features are not easily represented in constructive type theory. We show how to define and reason about a programming language with probabilistic choice and recursive types, in guarded type theory. We use higher inductive types to represent finite distributions and guarded recursion to model recursion. We define both operational and denotational semantics, as well as a relation between the two. The relation can be used to prove adequacy, but we also show how to use it to reason about programs up to contextual equivalence.

This program is tentative and subject to change.

Thu 23 Jan

Displayed time zone: Mountain Time (US & Canada) change

10:40 - 12:00
Probabilistic Programming 2POPL at Marco Polo
10:40
20m
Talk
Inference Plans for Hybrid Particle Filtering
POPL
Ellie Y. Cheng MIT, Eric Atkinson , Guillaume Baudart Inria, Louis Mandel IBM Research, USA, Michael Carbin Massachusetts Institute of Technology
11:00
20m
Talk
Guaranteed Bounds on Posterior Distributions of Discrete Probabilistic Programs with Loops
POPL
Fabian Zaiser University of Oxford, Andrzej Murawski University of Oxford, C.-H. Luke Ong NTU
Pre-print
11:20
20m
Talk
Modelling Recursion and Probabilistic Choice in Guarded Type Theory
POPL
Philipp Stassen Aarhus University, Rasmus Ejlers Møgelberg IT University of Copenhagen, Maaike Annebet Zwart IT University of Copenhagen, Alejandro Aguirre Aarhus University, Lars Birkedal Aarhus University
11:40
20m
Talk
Bluebell: An Alliance of Relational Lifting and Independence For Probabilistic Reasoning
POPL
Jialu Bao Cornell University, Emanuele D'Osualdo University of Konstanz, Azadeh Farzan University of Toronto