<?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/v337/feed.xml" rel="self" type="application/atom+xml" /><link href="https://proceedings.mlr.press/v337/" rel="alternate" type="text/html" /><updated>2026-08-06T15:26:26+00:00</updated><id>https://proceedings.mlr.press/v337/feed.xml</id><title type="html">Proceedings of Machine Learning Research</title><subtitle>Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence
  Held in KIT, Amsterdam, the Netherlands on 17-21 August 2026

Published as Volume 337 by the Proceedings of Machine Learning Research on 06 August 2026.

Volume Edited by:
  Emilija Perković
  Daniel Malinsky

Series Editors:
  Neil D. Lawrence
  Hoel Kervadec
  Tegan Emerson
</subtitle><author><name>PMLR</name></author><entry><title type="html">Distilling Safe LLM Systems via Soft Prompts for On Device Settings</title><link href="https://proceedings.mlr.press/v337/alfarra26a.html" rel="alternate" type="text/html" title="Distilling Safe LLM Systems via Soft Prompts for On Device Settings" /><published>2026-08-06T00:00:00+00:00</published><updated>2026-08-06T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v337/alfarra26a</id><content type="html" xml:base="https://proceedings.mlr.press/v337/alfarra26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Motasem&quot;, &quot;family&quot;=&gt;&quot;Alfarra&quot;}, {&quot;given&quot;=&gt;&quot;Cristina&quot;, &quot;family&quot;=&gt;&quot;Pinneri&quot;}, {&quot;given&quot;=&gt;&quot;Dana&quot;, &quot;family&quot;=&gt;&quot;Kianfar&quot;}, {&quot;given&quot;=&gt;&quot;Mohammed&quot;, &quot;family&quot;=&gt;&quot;Almousa&quot;}, {&quot;given&quot;=&gt;&quot;Christos&quot;, &quot;family&quot;=&gt;&quot;Louizos&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Contrastive Conformal Sets</title><link href="https://proceedings.mlr.press/v337/alkhatib26a.html" rel="alternate" type="text/html" title="Contrastive Conformal Sets" /><published>2026-08-06T00:00:00+00:00</published><updated>2026-08-06T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v337/alkhatib26a</id><content type="html" xml:base="https://proceedings.mlr.press/v337/alkhatib26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Yahya&quot;, &quot;family&quot;=&gt;&quot;Alkhatib&quot;}, {&quot;given&quot;=&gt;&quot;Wee Peng&quot;, &quot;family&quot;=&gt;&quot;Tay&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">PCU: Perturbation-Calibrated Uncertainty for Unsupervised Anomaly Detection</title><link href="https://proceedings.mlr.press/v337/allaoui26a.html" rel="alternate" type="text/html" title="PCU: Perturbation-Calibrated Uncertainty for Unsupervised Anomaly Detection" /><published>2026-08-06T00:00:00+00:00</published><updated>2026-08-06T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v337/allaoui26a</id><content type="html" xml:base="https://proceedings.mlr.press/v337/allaoui26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Mebarka&quot;, &quot;family&quot;=&gt;&quot;Allaoui&quot;}, {&quot;given&quot;=&gt;&quot;Rachid&quot;, &quot;family&quot;=&gt;&quot;Hedjam&quot;}, {&quot;given&quot;=&gt;&quot;Mohand Saïd&quot;, &quot;family&quot;=&gt;&quot;Allili&quot;}, {&quot;given&quot;=&gt;&quot;Guoqiang&quot;, &quot;family&quot;=&gt;&quot;Zhong&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Curvature-Weighted Capacity Allocation: A Minimum Description Length Framework for Layer-Adaptive Large Language Model Optimization</title><link href="https://proceedings.mlr.press/v337/amaefuna26a.html" rel="alternate" type="text/html" title="Curvature-Weighted Capacity Allocation: A Minimum Description Length Framework for Layer-Adaptive Large Language Model Optimization" /><published>2026-08-06T00:00:00+00:00</published><updated>2026-08-06T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v337/amaefuna26a</id><content type="html" xml:base="https://proceedings.mlr.press/v337/amaefuna26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Theophilus&quot;, &quot;family&quot;=&gt;&quot;Amaefuna&quot;}, {&quot;given&quot;=&gt;&quot;Hitesh Ulhas&quot;, &quot;family&quot;=&gt;&quot;Vaidya&quot;}, {&quot;given&quot;=&gt;&quot;Anshuman&quot;, &quot;family&quot;=&gt;&quot;Chhabra&quot;}, {&quot;given&quot;=&gt;&quot;Ankur&quot;, &quot;family&quot;=&gt;&quot;Mali&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">When and How Often is Weighted Majority Vote Optimal Under Log Loss?</title><link href="https://proceedings.mlr.press/v337/an26a.html" rel="alternate" type="text/html" title="When and How Often is Weighted Majority Vote Optimal Under Log Loss?" /><published>2026-08-06T00:00:00+00:00</published><updated>2026-08-06T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v337/an26a</id><content type="html" xml:base="https://proceedings.mlr.press/v337/an26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Steven&quot;, &quot;family&quot;=&gt;&quot;An&quot;}, {&quot;given&quot;=&gt;&quot;Sanjoy&quot;, &quot;family&quot;=&gt;&quot;Dasgupta&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Workload-Preserving Differentially Private Synthetic Data for Causal Inference via Maximum-Entropy Calibration</title><link href="https://proceedings.mlr.press/v337/asiaee26a.html" rel="alternate" type="text/html" title="Workload-Preserving Differentially Private Synthetic Data for Causal Inference via Maximum-Entropy Calibration" /><published>2026-08-06T00:00:00+00:00</published><updated>2026-08-06T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v337/asiaee26a</id><content type="html" xml:base="https://proceedings.mlr.press/v337/asiaee26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Amir&quot;, &quot;family&quot;=&gt;&quot;Asiaee&quot;}, {&quot;given&quot;=&gt;&quot;Kaveh&quot;, &quot;family&quot;=&gt;&quot;Aryan&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Partial Causal Structure Learning for Valid Selective Conformal Inference under Interventions</title><link href="https://proceedings.mlr.press/v337/asiaee26b.html" rel="alternate" type="text/html" title="Partial Causal Structure Learning for Valid Selective Conformal Inference under Interventions" /><published>2026-08-06T00:00:00+00:00</published><updated>2026-08-06T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v337/asiaee26b</id><content type="html" xml:base="https://proceedings.mlr.press/v337/asiaee26b.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Amir&quot;, &quot;family&quot;=&gt;&quot;Asiaee&quot;}, {&quot;given&quot;=&gt;&quot;Kaveh&quot;, &quot;family&quot;=&gt;&quot;Aryan&quot;}, {&quot;given&quot;=&gt;&quot;James P.&quot;, &quot;family&quot;=&gt;&quot;Long&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Improving RCT-Based Treatment Effect Estimation Under Covariate Mismatch via Calibrated Alignment</title><link href="https://proceedings.mlr.press/v337/asiaee26c.html" rel="alternate" type="text/html" title="Improving RCT-Based Treatment Effect Estimation Under Covariate Mismatch via Calibrated Alignment" /><published>2026-08-06T00:00:00+00:00</published><updated>2026-08-06T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v337/asiaee26c</id><content type="html" xml:base="https://proceedings.mlr.press/v337/asiaee26c.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Amir&quot;, &quot;family&quot;=&gt;&quot;Asiaee&quot;}, {&quot;given&quot;=&gt;&quot;Samhita&quot;, &quot;family&quot;=&gt;&quot;Pal&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Certified Interventional Fidelity: Anytime-Valid, Adaptive Evaluation of Causal Claims in Mechanistic Interpretability</title><link href="https://proceedings.mlr.press/v337/asiaee26d.html" rel="alternate" type="text/html" title="Certified Interventional Fidelity: Anytime-Valid, Adaptive Evaluation of Causal Claims in Mechanistic Interpretability" /><published>2026-08-06T00:00:00+00:00</published><updated>2026-08-06T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v337/asiaee26d</id><content type="html" xml:base="https://proceedings.mlr.press/v337/asiaee26d.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Amir&quot;, &quot;family&quot;=&gt;&quot;Asiaee&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Probably Correct Optimal Stable Matching under Two-Sided Uncertainty</title><link href="https://proceedings.mlr.press/v337/athanasopoulos26a.html" rel="alternate" type="text/html" title="Probably Correct Optimal Stable Matching under Two-Sided Uncertainty" /><published>2026-08-06T00:00:00+00:00</published><updated>2026-08-06T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v337/athanasopoulos26a</id><content type="html" xml:base="https://proceedings.mlr.press/v337/athanasopoulos26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Andreas&quot;, &quot;family&quot;=&gt;&quot;Athanasopoulos&quot;}, {&quot;given&quot;=&gt;&quot;Anne-Marie&quot;, &quot;family&quot;=&gt;&quot;George&quot;}, {&quot;given&quot;=&gt;&quot;Christos&quot;, &quot;family&quot;=&gt;&quot;Dimitrakakis&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry></feed>