<?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/r13/feed.xml" rel="self" type="application/atom+xml" /><link href="https://proceedings.mlr.press/r13/" rel="alternate" type="text/html" /><updated>2026-10-04T22:52:04+00:00</updated><id>https://proceedings.mlr.press/r13/feed.xml</id><title type="html">Proceedings of Machine Learning Research</title><subtitle>Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence
  Held in Amsterdam, Netherlands on 12-16 July 2015

Published as Reissue 13 by the Proceedings of Machine Learning Research on 04 October 2026.

Volume Edited by:
  Marina Meila
  Tom Heskes

Series Editors:
  Tegan Emerson
  Hoel Kervadec
  Neil D. Lawrence
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Criticising Uncertain Agent Models</title><link href="https://proceedings.mlr.press/r13/albrecht15a.html" rel="alternate" type="text/html" title="Are You Doing What I Think You Are Doing? Criticising Uncertain Agent Models" /><published>2015-07-12T00:00:00+00:00</published><updated>2015-07-12T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r13/albrecht15a</id><content type="html" xml:base="https://proceedings.mlr.press/r13/albrecht15a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Stefano&quot;, &quot;family&quot;=&gt;&quot;Albrecht&quot;}, {&quot;given&quot;=&gt;&quot;Subramanian&quot;, &quot;family&quot;=&gt;&quot;Ramamoorthy&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Classification of Sparse and Irregularly Sampled Time Series with Mixtures of Expected Gaussian Kernels and Random Features</title><link href="https://proceedings.mlr.press/r13/amherst15a.html" rel="alternate" type="text/html" title="Classification of Sparse and Irregularly Sampled Time Series with Mixtures of Expected Gaussian Kernels and Random Features" /><published>2015-07-12T00:00:00+00:00</published><updated>2015-07-12T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r13/amherst15a</id><content type="html" xml:base="https://proceedings.mlr.press/r13/amherst15a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Steven Cheng-Xian Li UMass&quot;, &quot;family&quot;=&gt;&quot;Amherst&quot;}, {&quot;given&quot;=&gt;&quot;Benjamin Marlin UMass&quot;, &quot;family&quot;=&gt;&quot;Amherst&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Bethe Projections for Non-Local Inference</title><link href="https://proceedings.mlr.press/r13/amherst15b.html" rel="alternate" type="text/html" title="Bethe Projections for Non-Local Inference" /><published>2015-07-12T00:00:00+00:00</published><updated>2015-07-12T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r13/amherst15b</id><content type="html" xml:base="https://proceedings.mlr.press/r13/amherst15b.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Luke Vilnis UMass&quot;, &quot;family&quot;=&gt;&quot;Amherst&quot;}, {&quot;given&quot;=&gt;&quot;David Belanger UMass&quot;, &quot;family&quot;=&gt;&quot;Amherst&quot;}, {&quot;given&quot;=&gt;&quot;Daniel Sheldon UMass&quot;, &quot;family&quot;=&gt;&quot;Amherst&quot;}, {&quot;given&quot;=&gt;&quot;Andrew McCallum UMass&quot;, &quot;family&quot;=&gt;&quot;Amherst&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Intelligent Affect: Rational Decision Making for Socially Aligned Agents</title><link href="https://proceedings.mlr.press/r13/asghar15a.html" rel="alternate" type="text/html" title="Intelligent Affect: Rational Decision Making for Socially Aligned Agents" /><published>2015-07-12T00:00:00+00:00</published><updated>2015-07-12T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r13/asghar15a</id><content type="html" xml:base="https://proceedings.mlr.press/r13/asghar15a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Nabiha&quot;, &quot;family&quot;=&gt;&quot;Asghar&quot;}, {&quot;given&quot;=&gt;&quot;Jesse&quot;, &quot;family&quot;=&gt;&quot;Hoey&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">A Statistical Framework for Clustering Representation Learning</title><link href="https://proceedings.mlr.press/r13/ashtiani15a.html" rel="alternate" type="text/html" title="A Statistical Framework for Clustering Representation Learning" /><published>2015-07-12T00:00:00+00:00</published><updated>2015-07-12T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r13/ashtiani15a</id><content type="html" xml:base="https://proceedings.mlr.press/r13/ashtiani15a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Hassan&quot;, &quot;family&quot;=&gt;&quot;Ashtiani&quot;}, {&quot;given&quot;=&gt;&quot;Shai&quot;, &quot;family&quot;=&gt;&quot;Ben-David&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Tracking with ranked signals</title><link href="https://proceedings.mlr.press/r13/austin15a.html" rel="alternate" type="text/html" title="Tracking with ranked signals" /><published>2015-07-12T00:00:00+00:00</published><updated>2015-07-12T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r13/austin15a</id><content type="html" xml:base="https://proceedings.mlr.press/r13/austin15a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Tianyang Li UT&quot;, &quot;family&quot;=&gt;&quot;Austin&quot;}, {&quot;given&quot;=&gt;&quot;Harsh Pareek UT&quot;, &quot;family&quot;=&gt;&quot;Austin&quot;}, {&quot;given&quot;=&gt;&quot;Pradeep Ravikumar UT&quot;, &quot;family&quot;=&gt;&quot;Austin&quot;}, {&quot;given&quot;=&gt;&quot;Dhruv Balwada Geophysical Fluid Dynamics Institute at Florida State&quot;, &quot;family&quot;=&gt;&quot;University&quot;}, {&quot;given&quot;=&gt;&quot;Kevin Speer Geophysical Fluid Dynamics Institute at Florida State&quot;, &quot;family&quot;=&gt;&quot;University&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">How matroids occur in the context of learning Bayesian network structure</title><link href="https://proceedings.mlr.press/r13/autom-15a.html" rel="alternate" type="text/html" title="How matroids occur in the context of learning Bayesian network structure" /><published>2015-07-12T00:00:00+00:00</published><updated>2015-07-12T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r13/autom-15a</id><content type="html" xml:base="https://proceedings.mlr.press/r13/autom-15a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Milan Studeny Inst. Info. Theory and&quot;, &quot;family&quot;=&gt;&quot;Autom.&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry></feed>