Conference Editions
Tue 21 Jan 2020 New Orleans, Louisiana, United States

LAFI 2020 with POPL 2020

Invited speaker Fritz Obermeyer, Uber AI Labs Nonstandard Interpretation in Pyro About LAFI Inference concerns re-calibrating program parameters based on observed data, and has gained wide traction in machine learning and data science. Inference can be driven by probabilistic analysis and simulation, and through back-propagation and differentiation. Languages for inference offer built-in support for expr ...

Sun 13 - Sat 19 January 2019 Cascais, Portugal

LAFI 2019 with POPL 2019

Inference concerns re-calibrating program parameters based on observed data, and has gained wide traction in machine learning and data science. Inference can be driven by probabilistic analysis and simulation, and through back-propagation and differentiation. Languages for inference offer built-in support for expressing probabilistic models and inference methods as programs, to ease reasoning, use, and reuse. The ...

Mon 8 - Sat 13 January 2018 Los Angeles, California, United States

PPS 2018 with POPL 2018

Program We are excited to announce our 2018 program, including an invited talk, an invited tutorial, and the following talks and posters. For more details on the schedule, see the Program tab. The extended abstracts for the talks and posters can be found at http://pps2018.soic.indiana.edu Join our slack discussion at https://popl2018.slack.com/#pps Invited talk Erik Meijer, Facebook Software is eating the wo ...

Tue 17 Jan 2017

PPS 2017 with POPL 2017

Workshop on probabilistic programming semantics Probabilistic programming is the idea of expressing probabilistic models and inference methods as programs, to ease use and reuse. The recent rise of practical implementations as well as research activity in probabilistic programming has renewed the need for semantics to help us share insights and innovations. This workshop aims to bring programming-language and m ...

Sat 23 Jan 2016 St. Petersburg, Florida, United States

PPS 2016 with POPL 2016