Probabilistic programming is an emergent field based on the idea that probabilistic models can be efficiently represented as executable code. This idea has enabled researchers to formalize, automate, and scale up many aspects of modeling and inference; to make modeling and inference accessible to a broader audience of developers and domain experts; and to develop new programmable AI systems that integrate modeling and inference approaches from multiple domains.
PROBPROG is the first international conference dedicated to probabilistic programming. PROBPROG includes presentations on basic research, applied research, open source, and the practice of probabilistic programming. PROBPROG attendees come from academia, industry, non-profits, and government. The conference aims to achieve three goals:
PROBPROG welcomes abstract submissions for contributed research presentations, demonstrations, open-source systems, participants in open discussions, and consideration for invited publication in an online journal. Submissions should indicate alignment with one or more of the following themes:
The PROBPROG 2020 conference is seeking two kinds of submissions:
Authors should indicate if they would like their submission to be considered for invitation by the online Probabilistic Programming journal.
PROBPROG is a cross-disciplinary venue that aims to balance three goals:
Probabilistic programming conference papers are often accepted at top research conferences, e.g. NeurIPS, AISTATS, ICML, UAI, PLDI, and POPL. However, there is no existing venue for longer (10-25 page) papers, that may require detailed reviews by experts from multiple fields. In addition to novel contributions in the general domain of probabilistic programming, such papers may (i) present unifying perspectives on larger research directions in probabilistic programming; (ii) present key design insights and implementation details of important probabilistic programming systems; or (iii) present in-depth tutorials on techniques and applications that could be important to practitioners.
Probabilistic Programming is a new online journal, published concurrently with the PROBPROG conference. Probabilistic Programming aims to foster the development of probabilistic programming as an intellectual activity, and educate the growing community of probabilistic programming researchers and practitioners. This year, a subset of PROBPROG abstracts will be invited to be expanded into articles in the inaugural issue of Probabilistic Programming. Submissions should indicate if they would like to be considered for these invitations.
PROBPROG 2020 is dedicated to providing a harassment-free conference experience for everyone, regardless of gender, gender identity and expression, sexual orientation, disability, physical appearance, body size, race, age or religion. We do not tolerate harassment of conference participants in any form. Sexual language and imagery is not appropriate for any conference venue, including talks. Conference participants violating these rules may be sanctioned or expelled from the conference without a refund at the discretion of the conference organizers.
Harassment includes, but is not limited to:
Participants asked to stop any harassing behavior are expected to comply immediately. If a participant engages in harassing behaviour, event organisers retain the right to take any actions to keep the event a welcoming environment for all participants. This includes warning the offender or expulsion from the conference. Event organisers may take action to redress anything designed to, or with the clear impact of, disrupting the event or making the environment hostile for any participants.
If someone makes you or anyone else feel unsafe or unwelcome, please report it as soon as possible. Harassment and other code of conduct violations reduce the value of our event for everyone. We want you to be happy at our event. People like you make our event a better place.
Massachusetts Institute of Technology
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