POPL 2022
Sun 16 - Fri 28 January 2022
Philadelphia, Pennsylvania, United States
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POPL 2022
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Room information: LAFI
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Westin Philadelphia
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LAFI
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Sun 16 Jan
Displayed time zone:
Eastern Time (US & Canada)
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09:00 - 10:00
Keynote
LAFI
at
LAFI
Chair(s):
Cameron Freer
Massachusetts Institute of Technology
,
Ohad Kammar
University of Edinburgh
09:00
60m
Keynote
Abstract types in probabilistic programming
Remote
LAFI
Sam Staton
University of Oxford
File Attached
10:20 - 12:00
Invited talks
LAFI
at
LAFI
Chair(s):
Andrew D. Gordon
Microsoft Research and University of Edinburgh
10:20
33m
Talk
Probabilistic and Differentiable Programming in Scientific Simulators
Remote
LAFI
Atılım Güneş Baydin
Department of Engineering Science, University of Oxford
File Attached
10:53
33m
Talk
Stateful processes in probabilistic programming
Remote
LAFI
Hugo Paquet
University of Cambridge
File Attached
11:26
33m
Talk
Programming Languages for Automatic Differentiation: What Now?
Remote
LAFI
Damiano Mazza
CNRS
File Attached
13:30 - 14:45
Invited talks
LAFI
at
LAFI
Chair(s):
Damiano Mazza
CNRS
13:30
37m
Talk
JAX: accelerating ML research with composable function transformations
Remote
LAFI
Roy Frostig
Google Research
14:07
37m
Talk
Scalable structure learning and inference for domain-specific probabilistic programs
Remote
LAFI
Feras Saad
Massachusetts Institute of Technology
15:05 - 16:20
Contributed talks
LAFI
at
LAFI
Chair(s):
Christine Tasson
Sorbonne Université — LIP6
15:05
18m
Talk
Towards Denotational Semantics of AD for Higher-Order, Recursive, Probabilistic Languages
Remote
LAFI
Alexander K. Lew
Massachusetts Institute of Technology, USA
,
Mathieu Huot
Oxford University
,
Vikash K. Mansinghka
MIT
File Attached
15:23
18m
Talk
A Language and Smoothed Semantics for Convergent Stochastic Gradient Descent
Remote
LAFI
Dominik Wagner
University of Oxford
,
C.-H. Luke Ong
University of Oxford
File Attached
15:42
18m
Talk
Nonparametric Involutive Markov Chain Monte Carlo
Remote
LAFI
Carol Mak
University of Oxford
,
Fabian Zaiser
University of Oxford
,
C.-H. Luke Ong
University of Oxford
File Attached
16:01
18m
Talk
Rigorous Approximation of Posterior Inference for Probabilistic Programs
Remote
LAFI
Fabian Zaiser
University of Oxford
,
Raven Beutner
CISPA Helmholtz Center for Information Security, Germany
,
C.-H. Luke Ong
University of Oxford
File Attached
16:40 - 17:30
Keynote
LAFI
at
LAFI
Chair(s):
Ohad Kammar
University of Edinburgh
,
Christine Tasson
Sorbonne Université — LIP6
16:40
50m
Keynote
Program Analysis of Probabilistic Programs
Remote
LAFI
Maria I. Gorinova
The University of Edinburgh
File Attached
Sun 16 Jan
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LAFI
LAFI
Keynote
LAFI
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LAFI
Invited talks
LAFI
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LAFI
Keynote
Sun 16 Jan
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LAFI
LAFI
Remote
Abstract types in probabilistic programming
09:00 - 10:00
LAFI
Remote
Probabilistic and Differentiable Programming in Scientific Simulators
10:20 - 10:53
LAFI
Remote
Stateful processes in probabilistic programming
10:53 - 11:26
LAFI
Remote
Programming Languages for Automatic Differentiation: What Now?
11:26 - 12:00
LAFI
Remote
JAX: accelerating ML research with composable function transformations
13:30 - 14:07
LAFI
Remote
Scalable structure learning and inference for domain-specific probabili ...
14:07 - 14:45
LAFI
Remote
Towards Denotational Semantics of AD for Higher-Order, Recursive, Proba ...
15:05 - 15:23
LAFI
Remote
A Language and Smoothed Semantics for Convergent Stochastic Gradient De ...
15:23 - 15:42
LAFI
Remote
Nonparametric Involutive Markov Chain Monte Carlo
15:42 - 16:01
LAFI
Remote
Rigorous Approximation of Posterior Inference for Probabilistic Programs
16:01 - 16:20
LAFI
Remote
Program Analysis of Probabilistic Programs
16:40 - 17:30
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Thu 21 Nov 09:38