***The 5th Workshop on Tractable Probabilistic Modeling (TPM): From Theory to Practice (and Back)***
https://tractable-probabilistic-modeling.github.io/tpm2022/
AI and ML systems designed and deployed to support decision-making in the real world need to perform complex reasoning under uncertainty. For safety-critical systems, such as applications in healthcare and finance, it is crucial that this reasoning is reliable, i.e. either exact or coming with approximation guarantees. At the same time, it is important that these guarantees can be carried out efficiently. For this, tractable probabilistic models (TPMs) are very appealing because they support reliable and efficient reasoning for a wide range of reasoning scenarios, by design. Therefore, it is no wonder that research on modeling and learning different TPMs has been flourishing recently. The variegated TPM spectrum includes models that deliver tractable computation of likelihoods such as normalizing flow, Gaussian processes and autoregressive models; tractable marginals, such as mixture models, bounded-treewidth models, and determinantal point processes; and models supporting more complex reasoning scenarios such as probabilistic circuits. As the subtitle of this year’s Workshop proposal suggests, we are particularly interested in bridging the latest theoretical advancements in this spectrum with the burgeoning literature on applying TPMs to real-world problems. In particular, TPMs have been successfully used in image classification, completion and generation, activity recognition, language and speech modeling, verification and diagnosis of physical systems, and more recently in computational life science, e.g., for drug discovery and epidemiology modeling.
The workshop will be held in person on August 5th, 2022, co-located with UAI 2022 in Eindhoven, Netherlands.
Important Dates
Topics of interest
Prospective authors are invited to submit novel research, retrospective papers, or recently accepted papers on relevant topics including, but not limited to:
Submission Instructions
Original papers and retrospective papers are required to follow the style guidelines of UAI 2022 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 at https://tractable-probabilistic-modeling.github.io/tpm2022/cfp/; otherwise they will automatically be rejected. Reviewing for TPM 2022 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.
Submission Link: https://openreview.net/group?id=auai.org/UAI/2022/Workshop/TPM
***Accepted papers will be considered for a best paper award***
Organizers
For any questions, contact us at tpmwork...@gmail.com
***Please consider sharing this CFP in your network***