The 9th Workshop on Tractable Probabilistic Modeling

We invite three types of submissions:

1. Research papers that discuss novel TPM research.
2. Retrospective papers discussing the impact, consequences, and lessons learned from classical TPM papers.
3. TPM papers recently accepted at top ML and AI conferences.

Topics of interest

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.
• Applications of TPMs, with a special focus on causality and tensor networks.

Submission details

We restrict the format to be up to 4 pages, excluding references, in the UAI format. All accepted papers and reviews will be publicly available via OpenReview. We will have one or two best paper awards assigned after a round of discussion among the program committee members and organizers.

• OpenReview: https://openreview.net/group?id=auai.org/UAI/2026/Workshop/TPM
  • New profiles created without an institutional email will go through a moderation process that can take up to two weeks.
  • New profiles created with an institutional email will be activated automatically.
• Submission template
• Contact: tpmworkshop2026@gmail.com