<?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/r14/feed.xml" rel="self" type="application/atom+xml" /><link href="https://proceedings.mlr.press/r14/" rel="alternate" type="text/html" /><updated>2026-10-04T22:52:43+00:00</updated><id>https://proceedings.mlr.press/r14/feed.xml</id><title type="html">Proceedings of Machine Learning Research</title><subtitle>Proceedings of the 32nd Conference on Uncertainty in Artificial Intelligence
  Held in Jersey City, New Jersey, USA on 25-29 June 2016

Published as Reissue 14 by the Proceedings of Machine Learning Research on 04 October 2026.

Volume Edited by:
  Alexander Ihler
  Dominik Janzing

Series Editors:
  Tegan Emerson
  Hoel Kervadec
  Neil D. Lawrence
</subtitle><author><name>PMLR</name></author><entry><title type="html">Gradient Methods for Stackelberg Games</title><link href="https://proceedings.mlr.press/r14/amin16a.html" rel="alternate" type="text/html" title="Gradient Methods for Stackelberg Games" /><published>2016-06-25T00:00:00+00:00</published><updated>2016-06-25T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r14/amin16a</id><content type="html" xml:base="https://proceedings.mlr.press/r14/amin16a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Kareem&quot;, &quot;family&quot;=&gt;&quot;Amin&quot;}, {&quot;given&quot;=&gt;&quot;Michael&quot;, &quot;family&quot;=&gt;&quot;Wellman&quot;}, {&quot;given&quot;=&gt;&quot;Satinder&quot;, &quot;family&quot;=&gt;&quot;Singh&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Inferring Causal Direction from Relational Data</title><link href="https://proceedings.mlr.press/r14/arbour16a.html" rel="alternate" type="text/html" title="Inferring Causal Direction from Relational Data" /><published>2016-06-25T00:00:00+00:00</published><updated>2016-06-25T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r14/arbour16a</id><content type="html" xml:base="https://proceedings.mlr.press/r14/arbour16a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;David&quot;, &quot;family&quot;=&gt;&quot;Arbour&quot;}, {&quot;given&quot;=&gt;&quot;Katerina&quot;, &quot;family&quot;=&gt;&quot;Marazopoulou&quot;}, {&quot;given&quot;=&gt;&quot;David&quot;, &quot;family&quot;=&gt;&quot;Jensen&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">The Mondrian Kernel</title><link href="https://proceedings.mlr.press/r14/balog16a.html" rel="alternate" type="text/html" title="The Mondrian Kernel" /><published>2016-06-25T00:00:00+00:00</published><updated>2016-06-25T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r14/balog16a</id><content type="html" xml:base="https://proceedings.mlr.press/r14/balog16a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Matej&quot;, &quot;family&quot;=&gt;&quot;Balog&quot;}, {&quot;given&quot;=&gt;&quot;Balaji&quot;, &quot;family&quot;=&gt;&quot;Lakshminarayanan&quot;}, {&quot;given&quot;=&gt;&quot;Zoubin&quot;, &quot;family&quot;=&gt;&quot;Ghahramani&quot;}, {&quot;given&quot;=&gt;&quot;Daniel&quot;, &quot;family&quot;=&gt;&quot;Roy&quot;}, {&quot;given&quot;=&gt;&quot;Yee Whye&quot;, &quot;family&quot;=&gt;&quot;Teh&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Sequential Nonparametric Testing with the Law of the Iterated Logarithm</title><link href="https://proceedings.mlr.press/r14/balsubramani16a.html" rel="alternate" type="text/html" title="Sequential Nonparametric Testing with the Law of the Iterated Logarithm" /><published>2016-06-25T00:00:00+00:00</published><updated>2016-06-25T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r14/balsubramani16a</id><content type="html" xml:base="https://proceedings.mlr.press/r14/balsubramani16a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Akshay&quot;, &quot;family&quot;=&gt;&quot;Balsubramani&quot;}, {&quot;given&quot;=&gt;&quot;Aaditya&quot;, &quot;family&quot;=&gt;&quot;Ramdas&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Budget Allocation using Weakly Coupled, Constrained Markov Decision Processes</title><link href="https://proceedings.mlr.press/r14/boutilier16a.html" rel="alternate" type="text/html" title="Budget Allocation using Weakly Coupled, Constrained Markov Decision Processes" /><published>2016-06-25T00:00:00+00:00</published><updated>2016-06-25T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r14/boutilier16a</id><content type="html" xml:base="https://proceedings.mlr.press/r14/boutilier16a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Craig&quot;, &quot;family&quot;=&gt;&quot;Boutilier&quot;}, {&quot;given&quot;=&gt;&quot;Tyler&quot;, &quot;family&quot;=&gt;&quot;Lu&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Analysis of Nyström method with sequential ridge leverage scores</title><link href="https://proceedings.mlr.press/r14/calandriello16a.html" rel="alternate" type="text/html" title="Analysis of Nyström method with sequential ridge leverage scores" /><published>2016-06-25T00:00:00+00:00</published><updated>2016-06-25T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r14/calandriello16a</id><content type="html" xml:base="https://proceedings.mlr.press/r14/calandriello16a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Daniele&quot;, &quot;family&quot;=&gt;&quot;Calandriello&quot;}, {&quot;given&quot;=&gt;&quot;Alessandro&quot;, &quot;family&quot;=&gt;&quot;Lazaric&quot;}, {&quot;given&quot;=&gt;&quot;Michal&quot;, &quot;family&quot;=&gt;&quot;Valko&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Unsupervised Discovery of El Nino Using Causal Feature Learning on Microlevel Climate Data</title><link href="https://proceedings.mlr.press/r14/caltech16a.html" rel="alternate" type="text/html" title="Unsupervised Discovery of El Nino Using Causal Feature Learning on Microlevel Climate Data" /><published>2016-06-25T00:00:00+00:00</published><updated>2016-06-25T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r14/caltech16a</id><content type="html" xml:base="https://proceedings.mlr.press/r14/caltech16a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Krzysztof Chalupka&quot;, &quot;family&quot;=&gt;&quot;Caltech&quot;}, {&quot;given&quot;=&gt;&quot;Tobias Bischoff&quot;, &quot;family&quot;=&gt;&quot;Caltech&quot;}, {&quot;given&quot;=&gt;&quot;Frederick&quot;, &quot;family&quot;=&gt;&quot;Eberhardt&quot;}, {&quot;given&quot;=&gt;&quot;Pietro Perona&quot;, &quot;family&quot;=&gt;&quot;Caltech&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Individual Planning in Open and Typed Agent Systems</title><link href="https://proceedings.mlr.press/r14/chandrasekaran16a.html" rel="alternate" type="text/html" title="Individual Planning in Open and Typed Agent Systems" /><published>2016-06-25T00:00:00+00:00</published><updated>2016-06-25T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r14/chandrasekaran16a</id><content type="html" xml:base="https://proceedings.mlr.press/r14/chandrasekaran16a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Muthukumaran&quot;, &quot;family&quot;=&gt;&quot;Chandrasekaran&quot;}, {&quot;given&quot;=&gt;&quot;Adam&quot;, &quot;family&quot;=&gt;&quot;Eck&quot;}, {&quot;given&quot;=&gt;&quot;Prashant&quot;, &quot;family&quot;=&gt;&quot;Doshi&quot;}, {&quot;given&quot;=&gt;&quot;Leenkiat&quot;, &quot;family&quot;=&gt;&quot;Soh&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Accelerated Stochastic Block Coordinate Gradient Descent for Sparsity Constrained Nonconvex Optimization</title><link href="https://proceedings.mlr.press/r14/chen16a.html" rel="alternate" type="text/html" title="Accelerated Stochastic Block Coordinate Gradient Descent for Sparsity Constrained Nonconvex Optimization" /><published>2016-06-25T00:00:00+00:00</published><updated>2016-06-25T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r14/chen16a</id><content type="html" xml:base="https://proceedings.mlr.press/r14/chen16a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Jinghui&quot;, &quot;family&quot;=&gt;&quot;Chen&quot;}, {&quot;given&quot;=&gt;&quot;Quanquan&quot;, &quot;family&quot;=&gt;&quot;Gu&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry><entry><title type="html">Efficient Observation Selection in Probabilistic Graphical Models Using Bayesian Lower Bounds</title><link href="https://proceedings.mlr.press/r14/college16a.html" rel="alternate" type="text/html" title="Efficient Observation Selection in Probabilistic Graphical Models Using Bayesian Lower Bounds" /><published>2016-06-25T00:00:00+00:00</published><updated>2016-06-25T00:00:00+00:00</updated><id>https://proceedings.mlr.press/r14/college16a</id><content type="html" xml:base="https://proceedings.mlr.press/r14/college16a.html"><![CDATA[]]></content><author><name>[{&quot;given&quot;=&gt;&quot;Dilin Wang Dartmouth&quot;, &quot;family&quot;=&gt;&quot;College&quot;}, {&quot;given&quot;=&gt;&quot;John Fisher&quot;, &quot;family&quot;=&gt;&quot;III&quot;}, {&quot;given&quot;=&gt;&quot;Qiang Liu Dartmouth&quot;, &quot;family&quot;=&gt;&quot;College&quot;}]</name></author><summary type="html"><![CDATA[]]></summary></entry></feed>