We invite three types of submissions:
Novel research on tractable probabilistic modeling
Retrospective papers discussing the impact, consequences, and lessons learned
Recently accepted papers that present advances in tractable probabilistic models (in the format and length used when previously published)
Topics of interest include, but are not limited to:
New tractable representations in logical, continuous and hybrid domains
Learning algorithms for TPMs
Theoretical and empirical analysis of TPMs
Connections between TPM classes
TPMs for responsible, robust and explainable AI
Approximate inference algorithms with guarantees
Successful applications of TPMs to real-world problems
Submission deadline: June 12th, 2023 AoE (deadline extended)
Notification deadline: July 4th, 2023 AoE
Camera-ready deadline: August 18th, 2023 AoE
Original papers and retrospective papers are required to follow the style guidelines of UAI 2023 and should be using the following adjusted template TPM format. Submitted papers should be up to 4 pages long, excluding references. Already accepted papers can be submitted in the format of the venue they have been accepted to. Supplementary material can be put in the same pdf paper (after references); it is entirely up to the reviewers to decide whether they wish to consult this additional material.
All submissions must be electronic (through the link below), and must closely follow the formatting guidelines in the templates; otherwise they will automatically be rejected. Reviewing for TPM 2023 is single-blind; i.e., reviewers will know the authors’ identity but authors won't know the reviewers' identity. However, we recommend that you refer to your prior work in the third person wherever possible. We also encourage links to public repositories such as GitHub to share code and/or data.
For any questions, please contact us at tpmworkshop2023@gmail.com
Submission Link: https://openreview.net/group?id=auai.org/UAI/2023/Workshop/TPM