Dear colleagues,

We are pleased to announce the 13th International Conference on Probabilistic Graphical Models (PGM 2026), which will take place in Valencia, Spain, on 9–11 September 2026, with a pre-conference workshop on 8 September 2026.

PGM is a biennial international conference that brings together researchers working on all aspects of graphical models for probabilistic reasoning, decision making, and learning. The conference has traditionally been organized as a single-track meeting, fostering broad engagement and interaction across the community. Both theoretical and applied contributions are welcome.

### Scope and Topics

We invite submissions of original, unpublished research papers on probabilistic graphical models and closely related areas, including (but not limited to):

* Bayesian networks, chain graphs, influence diagrams, sum–product networks, probabilistic relational models, and related frameworks
* Exact and approximate inference, Monte Carlo methods, and variational approaches
* Structure learning, parameter learning, and causal discovery
* Causal modeling and causal inference
* Interpretable, explainable, and trustworthy AI based on graphical models
* Decision theory, reasoning under uncertainty, and sequential decision processes
* Connections between graphical models and deep learning, optimization, and statistical learning
* Scalable algorithms, software systems, and implementations
* Applications in science, engineering, healthcare, economics, climate and environmental sciences, and other domains

### Submissions and Review Process

Submissions must report original research not previously published or under review elsewhere. All papers will undergo a rigorous peer-review process. Accepted papers will be presented at the conference and published in the Proceedings of Machine Learning Research (PMLR).

Papers must be submitted via OpenReview:
https://openreview.net/group?id=PGM/2026

Submissions are limited to 12 pages (excluding references) and must follow the official PGM 2026 LaTeX template available in the Author Kit:
https://www.uv.es/pgm2026/assets/pgm2026_author_kit.zip

Depending on the number of accepted papers, presentations may be oral or poster, but there is no distinction in the proceedings.

Authors may use generative AI tools (e.g., LLMs) to assist in writing or research, but remain fully responsible for all content. LLMs are not eligible for authorship.

### Important Dates

* Submission site opens: March 1, 2026
* Abstract submission deadline: May 15, 2026
* Full paper submission deadline: May 23, 2026
* Author notification: July 17, 2026
* Camera-ready deadline: August 24, 2026

### Pre-conference Workshop

A one-day workshop on Causal Probabilistic Graphical Models for Earth System Science will take place on 8 September 2026. Further details will be announced soon.

### IJAR Special Issue

Selected papers presented at PGM 2026 will be invited to submit extended versions to a special issue of the International Journal of Approximate Reasoning (IJAR).

### Registration

At least one author of each accepted paper must register for the conference. Registration details will be provided on the conference website:
https://www.uv.es/pgm2026/

We look forward to welcoming you to Valencia for PGM 2026.

Best regards,

Gherardo Varando (Universitat de València)
Manuele Leonelli (IE University, Madrid)
Gustau Camps-Valls (Universitat de València)
Program Chairs, PGM 2026