<?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/v300/feed.xml" rel="self" type="application/atom+xml" /><link href="https://proceedings.mlr.press/v300/" rel="alternate" type="text/html" /><updated>2026-08-30T17:19:08+00:00</updated><id>https://proceedings.mlr.press/v300/feed.xml</id><title type="html">Proceedings of Machine Learning Research</title><subtitle>Proceedings of The 29th International Conference on Artificial Intelligence and Statistics
  Held in Hilton Tanger Al Houara, Morocco on 02-05 May 2026

Published as Volume 300 by the Proceedings of Machine Learning Research on 30 August 2026.

Volume Edited by:
  Emtiyaz Khan
  Yingzhen Li
  Arno Solin
  Aaditya Ramdas

Series Editors:
  Tegan Emerson
  Hoel Kervadec
  Neil D. Lawrence
</subtitle><author><name>PMLR</name></author><entry><title type="html">The Riemannian Geometry Associated to Gradient Flows of Linear Convolutional Networks</title><link href="https://proceedings.mlr.press/v300/achour26a.html" rel="alternate" type="text/html" title="The Riemannian Geometry Associated to Gradient Flows of Linear Convolutional Networks" /><published>2026-08-30T00:00:00+00:00</published><updated>2026-08-30T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v300/achour26a</id><content type="html" xml:base="https://proceedings.mlr.press/v300/achour26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;El Mehdi&quot;, &quot;family&quot;=&gt;&quot;Achour&quot;}, {&quot;given&quot;=&gt;&quot;Kathlén&quot;, &quot;family&quot;=&gt;&quot;Kohn&quot;}, {&quot;given&quot;=&gt;&quot;Holger&quot;, &quot;family&quot;=&gt;&quot;Rauhut&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">VIPaint: Image Inpainting with Pre-Trained Diffusion Models via Variational Inference</title><link href="https://proceedings.mlr.press/v300/agarwal26a.html" rel="alternate" type="text/html" title="VIPaint: Image Inpainting with Pre-Trained Diffusion Models via Variational Inference" /><published>2026-08-30T00:00:00+00:00</published><updated>2026-08-30T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v300/agarwal26a</id><content type="html" xml:base="https://proceedings.mlr.press/v300/agarwal26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Sakshi&quot;, &quot;family&quot;=&gt;&quot;Agarwal&quot;}, {&quot;given&quot;=&gt;&quot;Gabriel&quot;, &quot;family&quot;=&gt;&quot;Hope&quot;}, {&quot;given&quot;=&gt;&quot;Jimin&quot;, &quot;family&quot;=&gt;&quot;Heo&quot;}, {&quot;given&quot;=&gt;&quot;Erik B.&quot;, &quot;family&quot;=&gt;&quot;Sudderth&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Best Policy Learning From Trajectory Preference Feedback</title><link href="https://proceedings.mlr.press/v300/agnihotri26a.html" rel="alternate" type="text/html" title="Best Policy Learning From Trajectory Preference Feedback" /><published>2026-08-30T00:00:00+00:00</published><updated>2026-08-30T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v300/agnihotri26a</id><content type="html" xml:base="https://proceedings.mlr.press/v300/agnihotri26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Akhil&quot;, &quot;family&quot;=&gt;&quot;Agnihotri&quot;}, {&quot;given&quot;=&gt;&quot;Rahul&quot;, &quot;family&quot;=&gt;&quot;Jain&quot;}, {&quot;given&quot;=&gt;&quot;Deepak&quot;, &quot;family&quot;=&gt;&quot;Ramachandran&quot;}, {&quot;given&quot;=&gt;&quot;Zheng&quot;, &quot;family&quot;=&gt;&quot;Wen&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">On the Hardness of Auditing Model Properties Under Updates: Complexity of Property-Preserving Updates</title><link href="https://proceedings.mlr.press/v300/ajarra26a.html" rel="alternate" type="text/html" title="On the Hardness of Auditing Model Properties Under Updates: Complexity of Property-Preserving Updates" /><published>2026-08-30T00:00:00+00:00</published><updated>2026-08-30T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v300/ajarra26a</id><content type="html" xml:base="https://proceedings.mlr.press/v300/ajarra26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Ayoub&quot;, &quot;family&quot;=&gt;&quot;Ajarra&quot;}, {&quot;given&quot;=&gt;&quot;Debabrota&quot;, &quot;family&quot;=&gt;&quot;Basu&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">In-Context Function Learning in Large Language Models</title><link href="https://proceedings.mlr.press/v300/akata26a.html" rel="alternate" type="text/html" title="In-Context Function Learning in Large Language Models" /><published>2026-08-30T00:00:00+00:00</published><updated>2026-08-30T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v300/akata26a</id><content type="html" xml:base="https://proceedings.mlr.press/v300/akata26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Elif&quot;, &quot;family&quot;=&gt;&quot;Akata&quot;}, {&quot;given&quot;=&gt;&quot;Konstantinos&quot;, &quot;family&quot;=&gt;&quot;Voudouris&quot;}, {&quot;given&quot;=&gt;&quot;Vincent&quot;, &quot;family&quot;=&gt;&quot;Fortuin&quot;}, {&quot;given&quot;=&gt;&quot;Eric&quot;, &quot;family&quot;=&gt;&quot;Schulz&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">CAWI: Copula-Aligned Weight Initialization for Randomized Neural Networks</title><link href="https://proceedings.mlr.press/v300/akhtar26a.html" rel="alternate" type="text/html" title="CAWI: Copula-Aligned Weight Initialization for Randomized Neural Networks" /><published>2026-08-30T00:00:00+00:00</published><updated>2026-08-30T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v300/akhtar26a</id><content type="html" xml:base="https://proceedings.mlr.press/v300/akhtar26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Mushir&quot;, &quot;family&quot;=&gt;&quot;Akhtar&quot;}, {&quot;given&quot;=&gt;&quot;M.&quot;, &quot;family&quot;=&gt;&quot;Tanveer&quot;}, {&quot;given&quot;=&gt;&quot;Mohd.&quot;, &quot;family&quot;=&gt;&quot;Arshad&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">On the calibration of survival models with competing risks</title><link href="https://proceedings.mlr.press/v300/alberge26a.html" rel="alternate" type="text/html" title="On the calibration of survival models with competing risks" /><published>2026-08-30T00:00:00+00:00</published><updated>2026-08-30T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v300/alberge26a</id><content type="html" xml:base="https://proceedings.mlr.press/v300/alberge26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Julie&quot;, &quot;family&quot;=&gt;&quot;Alberge&quot;}, {&quot;given&quot;=&gt;&quot;Tristan&quot;, &quot;family&quot;=&gt;&quot;Haugomat&quot;}, {&quot;given&quot;=&gt;&quot;Gaël&quot;, &quot;family&quot;=&gt;&quot;Varoquaux&quot;}, {&quot;given&quot;=&gt;&quot;Judith&quot;, &quot;family&quot;=&gt;&quot;Abécassis&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">FocusViT: Faithful Explanations for Vision Transformers via Gradient-Guided Layer-Skipping</title><link href="https://proceedings.mlr.press/v300/ali26a.html" rel="alternate" type="text/html" title="FocusViT: Faithful Explanations for Vision Transformers via Gradient-Guided Layer-Skipping" /><published>2026-08-30T00:00:00+00:00</published><updated>2026-08-30T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v300/ali26a</id><content type="html" xml:base="https://proceedings.mlr.press/v300/ali26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Mohsin&quot;, &quot;family&quot;=&gt;&quot;Ali&quot;}, {&quot;given&quot;=&gt;&quot;Haider&quot;, &quot;family&quot;=&gt;&quot;Raza&quot;}, {&quot;given&quot;=&gt;&quot;John Q&quot;, &quot;family&quot;=&gt;&quot;Gan&quot;}, {&quot;given&quot;=&gt;&quot;Muhammad Haris&quot;, &quot;family&quot;=&gt;&quot;Khan&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Support Basis: Fast Attention Beyond Bounded Entries</title><link href="https://proceedings.mlr.press/v300/aliakbarpour26a.html" rel="alternate" type="text/html" title="Support Basis: Fast Attention Beyond Bounded Entries" /><published>2026-08-30T00:00:00+00:00</published><updated>2026-08-30T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v300/aliakbarpour26a</id><content type="html" xml:base="https://proceedings.mlr.press/v300/aliakbarpour26a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Maryam&quot;, &quot;family&quot;=&gt;&quot;Aliakbarpour&quot;}, {&quot;given&quot;=&gt;&quot;Vladimir&quot;, &quot;family&quot;=&gt;&quot;Braverman&quot;}, {&quot;given&quot;=&gt;&quot;Junze&quot;, &quot;family&quot;=&gt;&quot;Yin&quot;}, {&quot;given&quot;=&gt;&quot;Haochen&quot;, &quot;family&quot;=&gt;&quot;Zhang&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">High-Probability Bounds for Heterogeneous Local Differential Privacy</title><link href="https://proceedings.mlr.press/v300/aliakbarpour26b.html" rel="alternate" type="text/html" title="High-Probability Bounds for Heterogeneous Local Differential Privacy" /><published>2026-08-30T00:00:00+00:00</published><updated>2026-08-30T00:00:00+00:00</updated><id>https://proceedings.mlr.press/v300/aliakbarpour26b</id><content type="html" xml:base="https://proceedings.mlr.press/v300/aliakbarpour26b.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Maryam&quot;, &quot;family&quot;=&gt;&quot;Aliakbarpour&quot;}, {&quot;given&quot;=&gt;&quot;Alireza&quot;, &quot;family&quot;=&gt;&quot;Fallah&quot;}, {&quot;given&quot;=&gt;&quot;Swaha&quot;, &quot;family&quot;=&gt;&quot;Roy&quot;}, {&quot;given&quot;=&gt;&quot;Ria&quot;, &quot;family&quot;=&gt;&quot;Stevens&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry></feed>