Connectionists: [CFP] The 8th Workshop on Tractable Probabilistic Modeling at UAI 2025

[TPM 2025]

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The 8th Workshop on Tractable Probabilistic Modeling at UAI 2025

July 25th, 2025 @ Rio de Janeiro, Brazil

https://tractable-probabilistic-modeling.github.io/tpm2025/

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Dear All,

We are writing to invite you to contribute to the UAI 2025
<https://www.auai.org/uai2025/> Workshop on Tractable Probabilistic Modeling:
>From Logic to Probabilities and Back to be held in Rio de Janeiro, Brazil,
on July 25th, 2025.

Important Dates

- Submission Deadline: May 23th, 2025 AoE

- Expected Notification of Acceptance: June 18th, 2025 AoE

- Workshop Date: July 15th, 2025

Overview

Deploying AI and ML systems to assist decision-making in real-world and
safety-critical scenarios, requires different forms of complex reasoning
under uncertainty. These scenarios include applications in healthcare and
finance, as well as when certifying the fairness, robustness and privacy of
ML systems. In all these cases, reasoning needs to be reliable and
efficient and flexible enough to deal with constraints and background
knowledge. The now consolidated field of tractable probabilistic models
(TPMs) offers a very appealing approach as TPMs allow for exact inference
or come with approximation guarantees, thus providing reliability while
still allowing for efficient reasoning for a wide range of tasks, by design.

Furthermore, many TPMs provide a natural way to represent logical
constraints and principled ways to incorporate them into larger ML systems.
The spectrum of TPMs consists of a wide variety of techniques including
models with tractable likelihoods (e.g., normalizing flows and autoregressive
models), tractable marginals (e.g., bounded-treewidth models and determinantal
point processes), and more complex tractable reasoning tasks (e.g.,
probabilistic and logic circuits, tensor networks and tensor factorizations
).

This new edition of the Tractable Probabilistic Modeling workshop focuses
on scaling and providing guarantees when used for probabilistic and logical
reasoning, e.g., in neuro-symbolic AI where agents have to model both
calibrated uncertainties and satisfy given background knowledge while being
efficient. We also welcome contributions around the TPM spectrum that
consider only one of the two aspects, and hope to bring the two communities
together to advance their respective fields.



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

- Successful applications of TPMs to real-world problems,with a special
focus on NeSy AI

Submission Instructions

Original papers and retrospective papers are required to follow the style
guidelines of UAI. 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 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: tpmworkshop2025 at gmail.com

Submission Link:
https://openreview.net/group?id=auai.org/UAI/2025/Workshop/TPM

We would greatly appreciate it if you could share this call with colleagues
and researchers who might be interested in contributing.

Best Regards,

Organizers

Adrián Javaloy (University of Edinburgh, UK)

Poorva Garg (University of California, Los Angeles, USA)

Christoph Staudt (Friedrich Schiller University Jena, Germany)

John Leland (Arizona State University, USA)

Lennert De Smet (KU Leuven, Belgium)

Lingyun Yao (Aalto University, Finland)

Zhe Zeng (New York University, USA)

Antonio Vergari (University of Edinburgh, UK)
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