<?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/r12/feed.xml" rel="self" type="application/atom+xml" /><link href="https://proceedings.mlr.press/r12/" rel="alternate" type="text/html" /><updated>2026-10-04T22:51:36+00:00</updated><id>https://proceedings.mlr.press/r12/feed.xml</id><title type="html">Proceedings of Machine Learning Research</title><subtitle>Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence
  Held in Quebec City, Quebec, Canada on 23-27 July 2014

Published as Reissue 12 by the Proceedings of Machine Learning Research on 04 October 2026.

Volume Edited by:
  Nevin L. Zhang
  Jin Tian

Series Editors:
  Tegan Emerson
  Hoel Kervadec
  Neil D. Lawrence
</subtitle><author><name>PMLR</name></author><entry><title type="html">MEMR: A Margin Equipped Monotone Retargeting Framework for Ranking</title><link href="https://proceedings.mlr.press/r12/acharyya14a.html" rel="alternate" type="text/html" title="MEMR: A Margin Equipped Monotone Retargeting Framework for Ranking" /><published>2014-07-23T00:00:00+00:00</published><updated>2014-07-23T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r12/acharyya14a</id><content type="html" xml:base="https://proceedings.mlr.press/r12/acharyya14a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Sreangsu&quot;, &quot;family&quot;=&gt;&quot;Acharyya&quot;}, {&quot;given&quot;=&gt;&quot;Joydeep&quot;, &quot;family&quot;=&gt;&quot;Ghosh&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">On Convergence and Optimality of Best-Response Learning with Policy Types in Multiagent Systems</title><link href="https://proceedings.mlr.press/r12/albrecht14a.html" rel="alternate" type="text/html" title="On Convergence and Optimality of Best-Response Learning with Policy Types in Multiagent Systems" /><published>2014-07-23T00:00:00+00:00</published><updated>2014-07-23T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r12/albrecht14a</id><content type="html" xml:base="https://proceedings.mlr.press/r12/albrecht14a.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">Combining predictions from linear models when training and test inputs differ</title><link href="https://proceedings.mlr.press/r12/amsterdam14a.html" rel="alternate" type="text/html" title="Combining predictions from linear models when training and test inputs differ" /><published>2014-07-23T00:00:00+00:00</published><updated>2014-07-23T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r12/amsterdam14a</id><content type="html" xml:base="https://proceedings.mlr.press/r12/amsterdam14a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Thijs Van Ommen CWI&quot;, &quot;family&quot;=&gt;&quot;Amsterdam&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">A variational approach to stable principal component pursuit</title><link href="https://proceedings.mlr.press/r12/aravkin14a.html" rel="alternate" type="text/html" title="A variational approach to stable principal component pursuit" /><published>2014-07-23T00:00:00+00:00</published><updated>2014-07-23T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r12/aravkin14a</id><content type="html" xml:base="https://proceedings.mlr.press/r12/aravkin14a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Aleksandr&quot;, &quot;family&quot;=&gt;&quot;Aravkin&quot;}, {&quot;given&quot;=&gt;&quot;Stephen&quot;, &quot;family&quot;=&gt;&quot;Becker&quot;}, {&quot;given&quot;=&gt;&quot;Volkan&quot;, &quot;family&quot;=&gt;&quot;Cevher&quot;}, {&quot;given&quot;=&gt;&quot;Peder&quot;, &quot;family&quot;=&gt;&quot;Olsen&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Markov Network Structure Learning via Ensemble-of-Forests Models</title><link href="https://proceedings.mlr.press/r12/arvaniti14a.html" rel="alternate" type="text/html" title="Markov Network Structure Learning via Ensemble-of-Forests Models" /><published>2014-07-23T00:00:00+00:00</published><updated>2014-07-23T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r12/arvaniti14a</id><content type="html" xml:base="https://proceedings.mlr.press/r12/arvaniti14a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Eirini&quot;, &quot;family&quot;=&gt;&quot;Arvaniti&quot;}, {&quot;given&quot;=&gt;&quot;Manfred&quot;, &quot;family&quot;=&gt;&quot;Claassen&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Message Passing for Soft Constraint Dual Decomposition</title><link href="https://proceedings.mlr.press/r12/belanger14a.html" rel="alternate" type="text/html" title="Message Passing for Soft Constraint Dual Decomposition" /><published>2014-07-23T00:00:00+00:00</published><updated>2014-07-23T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r12/belanger14a</id><content type="html" xml:base="https://proceedings.mlr.press/r12/belanger14a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;David&quot;, &quot;family&quot;=&gt;&quot;Belanger&quot;}, {&quot;given&quot;=&gt;&quot;Alexandre&quot;, &quot;family&quot;=&gt;&quot;Passos&quot;}, {&quot;given&quot;=&gt;&quot;Sebastian&quot;, &quot;family&quot;=&gt;&quot;Riedel&quot;}, {&quot;given&quot;=&gt;&quot;Andrew&quot;, &quot;family&quot;=&gt;&quot;McCallum&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Can(Plan)+: Extending the Operational Semantics for the BDI architecture to deal with Uncertain Information</title><link href="https://proceedings.mlr.press/r12/belfast14a.html" rel="alternate" type="text/html" title="Can(Plan)+: Extending the Operational Semantics for the BDI architecture to deal with Uncertain Information" /><published>2014-07-23T00:00:00+00:00</published><updated>2014-07-23T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r12/belfast14a</id><content type="html" xml:base="https://proceedings.mlr.press/r12/belfast14a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Kim Bauters Queen’s University&quot;, &quot;family&quot;=&gt;&quot;Belfast&quot;}, {&quot;given&quot;=&gt;&quot;Weiru Liu Queen’s University&quot;, &quot;family&quot;=&gt;&quot;Belfast&quot;}, {&quot;given&quot;=&gt;&quot;Jun Hong Queen’s University&quot;, &quot;family&quot;=&gt;&quot;Belfast&quot;}, {&quot;given&quot;=&gt;&quot;Carles Sierra IIIA&quot;, &quot;family&quot;=&gt;&quot;CSIC&quot;}, {&quot;given&quot;=&gt;&quot;Lluis Godo Artificial Intelligence Research&quot;, &quot;family&quot;=&gt;&quot;Institute&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">A Bayesian Nonparametric Model for Spectral Estimation of Metastable Systems</title><link href="https://proceedings.mlr.press/r12/berlin14a.html" rel="alternate" type="text/html" title="A Bayesian Nonparametric Model for Spectral Estimation of Metastable Systems" /><published>2014-07-23T00:00:00+00:00</published><updated>2014-07-23T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r12/berlin14a</id><content type="html" xml:base="https://proceedings.mlr.press/r12/berlin14a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Hao Wu Free University of&quot;, &quot;family&quot;=&gt;&quot;Berlin&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Bayesian Interactive Decision Support for Multi-Attribute Problems with Even Swaps</title><link href="https://proceedings.mlr.press/r12/bhattacharjya14a.html" rel="alternate" type="text/html" title="Bayesian Interactive Decision Support for Multi-Attribute Problems with Even Swaps" /><published>2014-07-23T00:00:00+00:00</published><updated>2014-07-23T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r12/bhattacharjya14a</id><content type="html" xml:base="https://proceedings.mlr.press/r12/bhattacharjya14a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Debarun&quot;, &quot;family&quot;=&gt;&quot;Bhattacharjya&quot;}, {&quot;given&quot;=&gt;&quot;Jeffrey&quot;, &quot;family&quot;=&gt;&quot;Kephart&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Learning to Predict from Crowdsourced Data</title><link href="https://proceedings.mlr.press/r12/bi14a.html" rel="alternate" type="text/html" title="Learning to Predict from Crowdsourced Data" /><published>2014-07-23T00:00:00+00:00</published><updated>2014-07-23T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r12/bi14a</id><content type="html" xml:base="https://proceedings.mlr.press/r12/bi14a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Wei&quot;, &quot;family&quot;=&gt;&quot;Bi&quot;}, {&quot;given&quot;=&gt;&quot;Liwei Wang&quot;, &quot;family&quot;=&gt;&quot;UIUC&quot;}, {&quot;given&quot;=&gt;&quot;James&quot;, &quot;family&quot;=&gt;&quot;Kwok&quot;}, {&quot;given&quot;=&gt;&quot;Zhuowen Tu&quot;, &quot;family&quot;=&gt;&quot;UCSD&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry></feed>