<?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/r11/feed.xml" rel="self" type="application/atom+xml" /><link href="https://proceedings.mlr.press/r11/" rel="alternate" type="text/html" /><updated>2026-10-04T22:51:22+00:00</updated><id>https://proceedings.mlr.press/r11/feed.xml</id><title type="html">Proceedings of Machine Learning Research</title><subtitle>Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence
  Held in Bellevue, WA, USA on 12-14 July 2013

Published as Reissue 11 by the Proceedings of Machine Learning Research on 04 October 2026.

Volume Edited by:
  Ann Nicholson
  Padhraic Smyth

Series Editors:
  Tegan Emerson
  Hoel Kervadec
  Neil D. Lawrence
</subtitle><author><name>PMLR</name></author><entry><title type="html">Generative Multiple-Instance Learning Models For Quantitative Electromyography</title><link href="https://proceedings.mlr.press/r11/adel13a.html" rel="alternate" type="text/html" title="Generative Multiple-Instance Learning Models For Quantitative Electromyography" /><published>2013-07-12T00:00:00+00:00</published><updated>2013-07-12T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r11/adel13a</id><content type="html" xml:base="https://proceedings.mlr.press/r11/adel13a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Tameem&quot;, &quot;family&quot;=&gt;&quot;Adel&quot;}, {&quot;given&quot;=&gt;&quot;Ruth&quot;, &quot;family&quot;=&gt;&quot;Urner&quot;}, {&quot;given&quot;=&gt;&quot;Benn&quot;, &quot;family&quot;=&gt;&quot;Smith&quot;}, {&quot;given&quot;=&gt;&quot;Daniel&quot;, &quot;family&quot;=&gt;&quot;Stashuk&quot;}, {&quot;given&quot;=&gt;&quot;Dan&quot;, &quot;family&quot;=&gt;&quot;Lizotte&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Active Sensing as Bayes-Optimal Sequential Decision Making</title><link href="https://proceedings.mlr.press/r11/ahmad13a.html" rel="alternate" type="text/html" title="Active Sensing as Bayes-Optimal Sequential Decision Making" /><published>2013-07-12T00:00:00+00:00</published><updated>2013-07-12T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r11/ahmad13a</id><content type="html" xml:base="https://proceedings.mlr.press/r11/ahmad13a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Sheeraz&quot;, &quot;family&quot;=&gt;&quot;Ahmad&quot;}, {&quot;given&quot;=&gt;&quot;Angela&quot;, &quot;family&quot;=&gt;&quot;Yu&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">The Bregman Variational Dual-Tree Framework</title><link href="https://proceedings.mlr.press/r11/amizadeh13a.html" rel="alternate" type="text/html" title="The Bregman Variational Dual-Tree Framework" /><published>2013-07-12T00:00:00+00:00</published><updated>2013-07-12T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r11/amizadeh13a</id><content type="html" xml:base="https://proceedings.mlr.press/r11/amizadeh13a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Saeed&quot;, &quot;family&quot;=&gt;&quot;Amizadeh&quot;}, {&quot;given&quot;=&gt;&quot;Bo&quot;, &quot;family&quot;=&gt;&quot;Thiesson&quot;}, {&quot;given&quot;=&gt;&quot;Milos&quot;, &quot;family&quot;=&gt;&quot;Hauskrecht&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction</title><link href="https://proceedings.mlr.press/r11/bach13a.html" rel="alternate" type="text/html" title="Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction" /><published>2013-07-12T00:00:00+00:00</published><updated>2013-07-12T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r11/bach13a</id><content type="html" xml:base="https://proceedings.mlr.press/r11/bach13a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Stephen&quot;, &quot;family&quot;=&gt;&quot;Bach&quot;}, {&quot;given&quot;=&gt;&quot;Bert&quot;, &quot;family&quot;=&gt;&quot;Huang&quot;}, {&quot;given&quot;=&gt;&quot;Ben&quot;, &quot;family&quot;=&gt;&quot;London&quot;}, {&quot;given&quot;=&gt;&quot;Lise&quot;, &quot;family&quot;=&gt;&quot;Getoor&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">High-dimensional Joint Sparsity Random Effects Model for Multi-task Learning</title><link href="https://proceedings.mlr.press/r11/balasubramanian13a.html" rel="alternate" type="text/html" title="High-dimensional Joint Sparsity Random Effects Model for Multi-task Learning" /><published>2013-07-12T00:00:00+00:00</published><updated>2013-07-12T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r11/balasubramanian13a</id><content type="html" xml:base="https://proceedings.mlr.press/r11/balasubramanian13a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Krishnakumar&quot;, &quot;family&quot;=&gt;&quot;Balasubramanian&quot;}, {&quot;given&quot;=&gt;&quot;Kai&quot;, &quot;family&quot;=&gt;&quot;Yu&quot;}, {&quot;given&quot;=&gt;&quot;Tong&quot;, &quot;family&quot;=&gt;&quot;Zhang&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Lower Bounds for Exact Model Counting and Applications in Probabilistic Databases</title><link href="https://proceedings.mlr.press/r11/beame13a.html" rel="alternate" type="text/html" title="Lower Bounds for Exact Model Counting and Applications in Probabilistic Databases" /><published>2013-07-12T00:00:00+00:00</published><updated>2013-07-12T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r11/beame13a</id><content type="html" xml:base="https://proceedings.mlr.press/r11/beame13a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Paul&quot;, &quot;family&quot;=&gt;&quot;Beame&quot;}, {&quot;given&quot;=&gt;&quot;Jerry&quot;, &quot;family&quot;=&gt;&quot;Li&quot;}, {&quot;given&quot;=&gt;&quot;Sudeepa&quot;, &quot;family&quot;=&gt;&quot;Roy&quot;}, {&quot;given&quot;=&gt;&quot;Dan&quot;, &quot;family&quot;=&gt;&quot;Suciu&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Reasoning about Probabilities in Dynamic Systems using Goal Regression</title><link href="https://proceedings.mlr.press/r11/belle13a.html" rel="alternate" type="text/html" title="Reasoning about Probabilities in Dynamic Systems using Goal Regression" /><published>2013-07-12T00:00:00+00:00</published><updated>2013-07-12T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r11/belle13a</id><content type="html" xml:base="https://proceedings.mlr.press/r11/belle13a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Vaishak&quot;, &quot;family&quot;=&gt;&quot;Belle&quot;}, {&quot;given&quot;=&gt;&quot;Hector&quot;, &quot;family&quot;=&gt;&quot;Levesque&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Probabilistic Conditional Preference Networks</title><link href="https://proceedings.mlr.press/r11/bigot13a.html" rel="alternate" type="text/html" title="Probabilistic Conditional Preference Networks" /><published>2013-07-12T00:00:00+00:00</published><updated>2013-07-12T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r11/bigot13a</id><content type="html" xml:base="https://proceedings.mlr.press/r11/bigot13a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Damien&quot;, &quot;family&quot;=&gt;&quot;Bigot&quot;}, {&quot;given&quot;=&gt;&quot;Bruno&quot;, &quot;family&quot;=&gt;&quot;Zanuttini&quot;}, {&quot;given&quot;=&gt;&quot;Helene&quot;, &quot;family&quot;=&gt;&quot;Fargier&quot;}, {&quot;given&quot;=&gt;&quot;Jérôme&quot;, &quot;family&quot;=&gt;&quot;Mengin&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Properties of the Lovász-Bregman Divergence with applications to rank aggregation and clustering</title><link href="https://proceedings.mlr.press/r11/bilmes13a.html" rel="alternate" type="text/html" title="Properties of the Lovász-Bregman Divergence with applications to rank aggregation and clustering" /><published>2013-07-12T00:00:00+00:00</published><updated>2013-07-12T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r11/bilmes13a</id><content type="html" xml:base="https://proceedings.mlr.press/r11/bilmes13a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Jeff&quot;, &quot;family&quot;=&gt;&quot;Bilmes&quot;}, {&quot;given&quot;=&gt;&quot;Rishabh&quot;, &quot;family&quot;=&gt;&quot;Iyer&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Boosting in the presence of label noise</title><link href="https://proceedings.mlr.press/r11/bootkrajang13a.html" rel="alternate" type="text/html" title="Boosting in the presence of label noise" /><published>2013-07-12T00:00:00+00:00</published><updated>2013-07-12T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r11/bootkrajang13a</id><content type="html" xml:base="https://proceedings.mlr.press/r11/bootkrajang13a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Jakramate&quot;, &quot;family&quot;=&gt;&quot;Bootkrajang&quot;}, {&quot;given&quot;=&gt;&quot;Ata&quot;, &quot;family&quot;=&gt;&quot;Kaban&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry></feed>