<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="3.10.0">Jekyll</generator><link href="https://proceedings.mlr.press/v343/feed.xml" rel="self" type="application/atom+xml" /><link href="https://proceedings.mlr.press/v343/" rel="alternate" type="text/html" /><updated>2026-11-07T17:40:00+00:00</updated><id>https://proceedings.mlr.press/v343/feed.xml</id><title type="html">Proceedings of Machine Learning Research</title><subtitle>Proceedings of the 13th International Conference on Probabilistic Graphical Models
  Held in Institut Valenci\`a d&apos;Art Modern (IVAM), Valencia, Spain on 09-11 September 2026

Published as Volume 343 by the Proceedings of Machine Learning Research on 07 November 2026.

Volume Edited by:
  Gustau Camps-Valls
  Manuele Leonelli
  Gherardo Varando

Series Editors:
  Tegan Emerson
  Hoel Kervadec
  Neil D. Lawrence
</subtitle><author><name>PMLR</name></author><entry><title type="html">Optimized Priority Scheduling for Faster Scalable Belief Propagation</title><link href="https://proceedings.mlr.press/v343/bassi26a.html" rel="alternate" type="text/html" title="Optimized Priority Scheduling for Faster Scalable Belief Propagation" /><published>2026-11-07T00:00:00+00:00</published><updated>2026-11-07T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v343/bassi26a</id><content type="html" xml:base="https://proceedings.mlr.press/v343/bassi26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Abnash&quot;, &quot;family&quot;=&gt;&quot;Bassi&quot;}, {&quot;given&quot;=&gt;&quot;Gilead&quot;, &quot;family&quot;=&gt;&quot;Posluns&quot;}, {&quot;given&quot;=&gt;&quot;Mark C.&quot;, &quot;family&quot;=&gt;&quot;Jeffrey&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Finite Dimensional Approximations of Incentive Functions for Causal Incentive Design Models</title><link href="https://proceedings.mlr.press/v343/bejos26a.html" rel="alternate" type="text/html" title="Finite Dimensional Approximations of Incentive Functions for Causal Incentive Design Models" /><published>2026-11-07T00:00:00+00:00</published><updated>2026-11-07T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v343/bejos26a</id><content type="html" xml:base="https://proceedings.mlr.press/v343/bejos26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Sebastián&quot;, &quot;family&quot;=&gt;&quot;Bejos&quot;}, {&quot;given&quot;=&gt;&quot;Eduardo F.&quot;, &quot;family&quot;=&gt;&quot;Morales&quot;}, {&quot;given&quot;=&gt;&quot;Enrique&quot;, &quot;family&quot;=&gt;&quot;Munoz de Cote&quot;}, {&quot;given&quot;=&gt;&quot;Luis Enrique&quot;, &quot;family&quot;=&gt;&quot;Sucar&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">An AutoML-Powered Architecture for Causal Discovery</title><link href="https://proceedings.mlr.press/v343/biza26a.html" rel="alternate" type="text/html" title="An AutoML-Powered Architecture for Causal Discovery" /><published>2026-11-07T00:00:00+00:00</published><updated>2026-11-07T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v343/biza26a</id><content type="html" xml:base="https://proceedings.mlr.press/v343/biza26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Konstantina&quot;, &quot;family&quot;=&gt;&quot;Biza&quot;}, {&quot;given&quot;=&gt;&quot;Sofia&quot;, &quot;family&quot;=&gt;&quot;Triantafillou&quot;}, {&quot;given&quot;=&gt;&quot;Ioannis&quot;, &quot;family&quot;=&gt;&quot;Tsamardinos&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Augmenting Bayesian Networks with Categorical Principal Components</title><link href="https://proceedings.mlr.press/v343/bojko26a.html" rel="alternate" type="text/html" title="Augmenting Bayesian Networks with Categorical Principal Components" /><published>2026-11-07T00:00:00+00:00</published><updated>2026-11-07T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v343/bojko26a</id><content type="html" xml:base="https://proceedings.mlr.press/v343/bojko26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Ashley&quot;, &quot;family&quot;=&gt;&quot;Bojko&quot;}, {&quot;given&quot;=&gt;&quot;Marie&quot;, &quot;family&quot;=&gt;&quot;Melı́nová&quot;}, {&quot;given&quot;=&gt;&quot;Jiřı́&quot;, &quot;family&quot;=&gt;&quot;Vomlel&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Table-based Probability Trees: a New Hybrid Potential Representation for Probabilistic Inference in Graphical Models</title><link href="https://proceedings.mlr.press/v343/bonillo26a.html" rel="alternate" type="text/html" title="Table-based Probability Trees: a New Hybrid Potential Representation for Probabilistic Inference in Graphical Models" /><published>2026-11-07T00:00:00+00:00</published><updated>2026-11-07T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v343/bonillo26a</id><content type="html" xml:base="https://proceedings.mlr.press/v343/bonillo26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Francisco&quot;, &quot;family&quot;=&gt;&quot;Bonillo&quot;}, {&quot;given&quot;=&gt;&quot;Andrés&quot;, &quot;family&quot;=&gt;&quot;Cano&quot;}, {&quot;given&quot;=&gt;&quot;Manuel&quot;, &quot;family&quot;=&gt;&quot;Gómez-Olmedo&quot;}, {&quot;given&quot;=&gt;&quot;Serafín&quot;, &quot;family&quot;=&gt;&quot;Moral&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Counterfactual Fairness under Hidden Confounding</title><link href="https://proceedings.mlr.press/v343/braun26a.html" rel="alternate" type="text/html" title="Counterfactual Fairness under Hidden Confounding" /><published>2026-11-07T00:00:00+00:00</published><updated>2026-11-07T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v343/braun26a</id><content type="html" xml:base="https://proceedings.mlr.press/v343/braun26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Marc&quot;, &quot;family&quot;=&gt;&quot;Braun&quot;}, {&quot;given&quot;=&gt;&quot;Jose M.&quot;, &quot;family&quot;=&gt;&quot;Peña&quot;}, {&quot;given&quot;=&gt;&quot;Adel&quot;, &quot;family&quot;=&gt;&quot;Daoud&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Fast Constraint-Based Structure Learning for Continuous-Time Bayesian Networks</title><link href="https://proceedings.mlr.press/v343/bregoli26a.html" rel="alternate" type="text/html" title="Fast Constraint-Based Structure Learning for Continuous-Time Bayesian Networks" /><published>2026-11-07T00:00:00+00:00</published><updated>2026-11-07T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v343/bregoli26a</id><content type="html" xml:base="https://proceedings.mlr.press/v343/bregoli26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Alessandro&quot;, &quot;family&quot;=&gt;&quot;Bregoli&quot;}, {&quot;given&quot;=&gt;&quot;Marco&quot;, &quot;family&quot;=&gt;&quot;Midali&quot;}, {&quot;given&quot;=&gt;&quot;Marco&quot;, &quot;family&quot;=&gt;&quot;Scutari&quot;}, {&quot;given&quot;=&gt;&quot;Fabio&quot;, &quot;family&quot;=&gt;&quot;Stella&quot;}, {&quot;given&quot;=&gt;&quot;Alessio&quot;, &quot;family&quot;=&gt;&quot;Zanga&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Safe Inverse Marginalization in Bayesian Networks</title><link href="https://proceedings.mlr.press/v343/butz26a.html" rel="alternate" type="text/html" title="Safe Inverse Marginalization in Bayesian Networks" /><published>2026-11-07T00:00:00+00:00</published><updated>2026-11-07T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v343/butz26a</id><content type="html" xml:base="https://proceedings.mlr.press/v343/butz26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Cory&quot;, &quot;family&quot;=&gt;&quot;Butz&quot;}, {&quot;given&quot;=&gt;&quot;Alejandro&quot;, &quot;family&quot;=&gt;&quot;Santoscoy-Rivero&quot;}, {&quot;given&quot;=&gt;&quot;Silja&quot;, &quot;family&quot;=&gt;&quot;Renooij&quot;}, {&quot;given&quot;=&gt;&quot;Johan&quot;, &quot;family&quot;=&gt;&quot;Kwisthout&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Selective Indicator Elimination in Arithmetic Circuits for Bipartite Noisy-OR Bayesian Networks</title><link href="https://proceedings.mlr.press/v343/butz26b.html" rel="alternate" type="text/html" title="Selective Indicator Elimination in Arithmetic Circuits for Bipartite Noisy-OR Bayesian Networks" /><published>2026-11-07T00:00:00+00:00</published><updated>2026-11-07T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v343/butz26b</id><content type="html" xml:base="https://proceedings.mlr.press/v343/butz26b.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Cory&quot;, &quot;family&quot;=&gt;&quot;Butz&quot;}, {&quot;given&quot;=&gt;&quot;Alejandro&quot;, &quot;family&quot;=&gt;&quot;Santoscoy-Rivero&quot;}, {&quot;given&quot;=&gt;&quot;Jiřı́&quot;, &quot;family&quot;=&gt;&quot;Vomlel&quot;}, {&quot;given&quot;=&gt;&quot;Anders&quot;, &quot;family&quot;=&gt;&quot;Madsen&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Accounting for Data Uncertainty in Counterfactual Reasoning</title><link href="https://proceedings.mlr.press/v343/cabanas26a.html" rel="alternate" type="text/html" title="Accounting for Data Uncertainty in Counterfactual Reasoning" /><published>2026-11-07T00:00:00+00:00</published><updated>2026-11-07T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v343/cabanas26a</id><content type="html" xml:base="https://proceedings.mlr.press/v343/cabanas26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Rafael&quot;, &quot;family&quot;=&gt;&quot;Cabañas&quot;}, {&quot;given&quot;=&gt;&quot;Helge&quot;, &quot;family&quot;=&gt;&quot;Langseth&quot;}, {&quot;given&quot;=&gt;&quot;Thomas D.&quot;, &quot;family&quot;=&gt;&quot;Nielsen&quot;}, {&quot;given&quot;=&gt;&quot;Antonio&quot;, &quot;family&quot;=&gt;&quot;Salmerón&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry></feed>