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<html>
<title>Joseph J. Pfeiffer III</title>
<head>
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<img src="./pic.jpg" width="150">
</div>
<div style="font-size: x-large; font-weight: bold; border-bottom: blue 2px solid">Joel Pfeiffer</div>
<div style="margin: 2px 0px 2px 0px">
<div style="font-size: x-small; font-style: italic">Joseph J. Pfeiffer III</div>
</div>
<div style="font-size: small">jpfeiffer at purdue dot edu</div>
</div>
<div style="font-size: small; margin: 5px 0px 5px 0px"><p>
<a href="http://www.cs.purdue.edu/resources/lawson/">Lawson 2149 #20</a><br>
<a href="http://www.purdue.edu/">Purdue University</a> <br>
<a href="http://www.cs.purdue.edu">Department of Computer Science</a> <br>
<a href="http://maps.google.com/maps?client=ubuntu&channel=cs&q=305+North+University+Street+West+Lafayette,+IN+47907-2066&ie=UTF8&hq=&hnear=305+University+St,+West+Lafayette,+Tippecanoe,+Indiana+47907&gl=us&t=h&z=16">305 North University Street <br>
West Lafayette, IN 47907-2066</a> <br><br>
<a href="http://www.linkedin.com/pub/joseph-pfeiffer/37/17/578"><img src="http://s.c.lnkd.licdn.com/scds/common/u/img/webpromo/btn_liprofile_blue_80x15.png" width="80" height="15" border="0" alt="View Joseph Pfeiffer's profile on LinkedIn"></a> <br>
<a href="https://twitter.com/jjpfeiffer3" class="twitter-follow-button" data-show-count="false">Follow @jjpfeiffer3</a>
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</div>
</td>
<td class="padding2" rowspan="2" valign="top">
<div class="heading" id="research" style="margin: 0px 0px 10px 0px">Research</div>
<div style="margin: 0px 0px 5 px 0px">
<p> I am a last year PhD student at Purdue University, studying machine learning in relational domains with Professor <a href="http://www.cs.purdue.edu/homes/neville/">Jennifer Neville</a>. I have interests in relational learning, particularly in partially observed network domains. I also study generative graph models for understanding how large networks form, and using them for anomaly detection. In addition, I am interested how incentivization can affect network sharing behavior, and how companies can use this to reach out to a large user base. Previously, I worked on robotics, where I worked on localization of objects when grasping.
</p>
<p>
</div>
<div class="heading" id="research" style="margin: 0px 0px 10px 0px">Recent News</div>
<p>05/20: WWW 2015. (Our Paper) -- "Overcoming relational learning biases to accurately predict preferences in large scale networks" </p>
<p>04/17: Paper accepted at SIGIR2015!</p>
<p>01/16: Paper accepted at WWW2015!</p>
<p>02/03: Talk at University of Arizona (Topic TBD)</p>
<p>01/28: AAAI 2015. (Our Paper) -- "Incorporating Assortativity and Degree Dependence into Scalable Network Models."</p>
<p>01/13: Talk at Microsoft Research (Redmond) -- "Learning and sampling from scalable generative graph models."</p>
<p>12/16: ICDM 2014. (Our Paper) -- "Composite Likelihood Data Augmentation for Within-Network Statistical Relational Learning."</p>
<p>12/15: ICDM 2014. (Our Paper) -- "A Scalable Method for Exact Sampling from Kronecker Models"</p>
</div>
<div class="heading" id="Internships" style="margin: 0px 0px 10px 0px">Internships</div>
<div class="intern_name">Microsoft Research (Summer 2013)</div>
Topic: Active Learning <br>
Mentors: Paul Bennett and Max Chickering <br>
<div class="intern_name">Lawrence Livermore National Labs (Fall 2012)</div>
Topic: Temporal graph modeling and attributed graph modeling <br>
Mentor: Brian Gallagher <br>
<div class="intern_name">LivingSocial (Summer 2012)</div>
Topic: Incentivized sharing in consumer websites <br>
Mentor: Elena Zheleva <br>
<div class="intern_name">NASA JSC (2005-2011, 8 tours)</div>
Topic: Robotic grasping, planning, etc. <br>
Mentor: Robert Platt, Jodi Graf, Tam Ngo, Robert Hirsh, Asher Lieberman <br>
<br>
<div class="heading" id="Publications" style="margin: 0px 0px 10px 0px">Publications</div>
<div class="pub_name">Modeling Website Topic Cohesion at Scale to Improve Webpage Classification</div>
Dhivya Eswaran, Paul N. Bennett and Joseph J. Pfeiffer III<br>
In Proceedings of 38th Annual ACM SIGIR Conference (SIGIR 2015)<br>
<!--<a href="pubs/WWW2015_MaxEntInf.pdf" style="font-size: small">[PDF]</a> -->
<a href="javascript:sizeTbl('sigir2015')", style="font-size: small">[BibTeX]</a>
<div id=sigir2015 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {sigir2015,
author = {Dhivya Eswaran and Paul N. Bennett and Joseph J. {Pfeiffer III}},
title = {Modeling Website Topic Cohension at Scale to Improve Webpage Classification},
year = {2015},
booktitle = {Proceedings of 38th Annual SIGIR Conference (SIGIR 2015)}
}
</pre>
</div>
</blockquote>
<div class="pub_name">Overcoming relational learning biases to accurately predict preferences in large scale networks</div>
Joseph J. Pfeiffer III, Jennifer Neville and Paul N. Bennett<br>
In Proceedings of 24th International World Wide Web Conference (WWW 2015) <br>
<a href="pubs/WWW2015_MaxEntInf.pdf" style="font-size: small">[PDF]</a>
<a href="javascript:sizeTbl('www2015')", style="font-size: small">[BibTeX]</a>
<div id=www2015 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {www2015,
author = {Joseph J. {Pfeiffer III} and Jennifer Neville and Paul N. Bennett},
title = {Overcoming Relational Learning Biases to Accurately Predict Preferences in Large Scale Networks},
year = {2015},
booktitle = {Proceedings of the 24th International World Wide Web Conference (WWW 2015)}
}
</pre>
</div>
</blockquote>
<div class="pub_name">Incorporating Assortativity and Degree Dependence into Scalable Network Models</div>
Stephen Mussman, John Moore, Joseph J. Pfeiffer III and Jennifer Neville <br>
In Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI 2015)
<br>
<a href="pubs/AAAI2015_Assortativity.pdf" style="font-size: small">[PDF]</a>
<a href="javascript:sizeTbl('aaai2015')", style="font-size: small">[BibTeX]</a>
<div id=aaai2015 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {aaai2015,
author = {Steven Mussman and John Moore and Joseph J. {Pfeiffer III} and Jennifer Neville},
title = {Incorporating Assortativity and Degree Dependence into Scalable Network Models},
year = {2015},
booktitle = {Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI 2015)}
}
</pre>
</blockquote>
</div>
<br>
<div class="pub_name">Composite Likelihood Data Augmentation for Within-Network Statistical Relational Learning</div>
Joseph J. Pfeiffer III, Jennifer Neville and Paul Bennett <br>
In Proceedings of the 14th IEEE International Conference on Data Mining (ICDM 2014)
<br>
<a href="pubs/ICDM2014_DA_Final.pdf" style="font-size: small">[PDF]</a>
<a href="javascript:sizeTbl('icdm2014a')", style="font-size: small">[BibTeX]</a>
<div id=icdm2014a style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {pfeiffer_icdm2014,
author = {Joseph J. {Pfeiffer III} and Jennifer Neville and Paul Bennett},
title = {Composite Likelihood Data Augmentation for Within-Network Statistical Relational Learning},
year = {2014},
booktitle = {Proceedings of the 14th IEEE International Conference on Data Mining (ICDM 2014)}
}
</pre>
</blockquote>
</div>
<br>
<div class="pub_name">A Scalable Method for Exact Sampling from Kronecker Models</div>
Sebastian Moreno, Joseph J. Pfeiffer III, Jennifer Neville and Sergey Kirshner <br>
In Proceedings of the 14th IEEE International Conference on Data Mining (ICDM 2014)
<br>
<a href="pubs/ICDM2014_GroupSampling.pdf" style="font-size: small">[PDF]</a>
<a href="javascript:sizeTbl('icdm2014b')", style="font-size: small">[BibTeX]</a>
<div id=icdm2014b style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {moreno_icdm2014,
author = {Sebastian Moreno and Joseph J. {Pfeiffer III} and Jennifer Neville and Sergey Kirshner},
title = {A Scalable Method for Exact Sampling from Kronecker Models},
year = {2014},
booktitle = {Proceedings of the 14th IEEE International Conference on Data Mining (ICDM 2014)}
}
</pre>
</blockquote>
</div>
<br>
<div class="pub_name">Active Exploration in Networks: Using Probabilistic Relationships for Learning and Inference</div>
Joseph J. Pfeiffer III, Jennifer Neville and Paul Bennett <br>
In Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM 2014)
<br>
<a href="pubs/CIKM2014_ActiveExploration.pdf" style="font-size: small">[PDF]</a>
<a href="javascript:sizeTbl('cikm2014')", style="font-size: small">[BibTeX]</a>
<div id=cikm2014 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {cikm2014,
author = {Joseph J. {Pfeiffer III} and Jennifer Neville and Paul Bennett},
title = {Active Exploration in Networks: Using Probabilistic Relationships for Learning and Inference},
year = {2014},
booktitle = {Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM 2014)}
}
</pre>
</blockquote>
</div>
<br>
<div class="pub_name">Attributed Graph Models: Towards the Sharing of Relational Data</div>
Joseph J. Pfeiffer III, Sebastian Moreno, Timothy La Fond, Jennifer Neville and Brian Gallagher <br>
KDD at Bloomberg, 2014
<br>
<!--<a href="pubs/SNAKDD2014_Assortativity.pdf" style="font-size: small">[PDF]</a> -->
<a href="pubs/KDD_At_Bloomberg2014_AGM.pdf" style="font-size: small">[PDF]</a>
<a href="javascript:sizeTbl('bloombergkdd2014')", style="font-size: small">[BibTeX]</a>
<div id=bloombergkdd2014 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {bloombergkdd2014,
author = {Joseph J. {Pfeiffer III} and Sebastian Moreno and Timothy {La Fond} and Jennifer Neville and Brian Gallagher},
title = {Attributed Graph Models: Towards the Sharing of Relational Data},
year = {2014},
booktitle = {KDD at Bloomberg}
}
</pre>
</blockquote>
</div>
<br>
<div class="pub_name">Assortativity in Chung Lu Random Graph Models</div>
Stephen Mussman, John Moore, Joseph J. Pfeiffer III and Jennifer Neville <br>
In Proceedings of the 8th Workshop on Social Network Mining and Analysis (SNAKDD 2014)
<br>
<a href="pubs/SNAKDD2014_Assortativity.pdf" style="font-size: small">[PDF]</a>
<a href="javascript:sizeTbl('snakdd2014')", style="font-size: small">[BibTeX]</a>
<div id=snakdd2014 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {snakdd2014,
author = {Steven Mussman and John Moore and Joseph J. {Pfeiffer III} and Jennifer Neville},
title = {Assortativity in Chung Lu Random Graph Models},
year = {2014},
booktitle = {Proceedings of the 8th Workshop on Social Network Mining and Analysis (SNAKDD 2014)}
}
</pre>
</blockquote>
</div>
<br>
<div class="pub_name">Attributed Graph Models: Modeling network structure with correlated attributes</div>
Joseph J. Pfeiffer III, Sebastian Moreno, Timothy La Fond, Jennifer Neville and Brian Gallagher <br>
In Proceedings of the 23rd International World Wide Web Conference (WWW 2014), 2014
<br>
<a href="pubs/AGM_WWW2014.pdf" style="font-size: small">[PDF]</a>
<a href="javascript:sizeTbl('www2014')", style="font-size: small">[BibTeX]</a>
<a href="agm/agm.html" style="font-size: small">[Datasets]</a>
<a href="pubs/WWW2014_AGM_Presentation.pdf" style="font-size: small">[Presentation - PDF]</a>
<div id=www2014 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {www2014,
author = {Joseph J. {Pfeiffer III} and Sebastian Moreno and Timothy {La Fond} and Jennifer Neville and Brian Gallagher},
title = {Attributed Graph Models: Modeling network structure with correlated attributes.},
year = {2014},
booktitle = {Proceedings of the 23rd International World Wide Web Conference (WWW 2014)}
}
</pre>
</blockquote>
</div>
<br>
<div class="pub_name">Combining Active Sampling with Parameter Estimation and Prediction in Single Networks</div>
Joseph J. Pfeiffer III, Jennifer Neville and Paul N. Bennett <br>
In Proceedings of the ICML Structured Learning Workshop, 2013
<br>
<a href="pubs/ActiveSampling_SLG2013.pdf" style="font-size: small">[PDF]</a>
<a href="javascript:sizeTbl('slg2013')", style="font-size: small">[BibTeX]</a>
<div id=slg2013 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {slg2013,
author = {Joseph J. {Pfeiffer III} and Jennifer Neville and Paul N. Bennett},
title = {Combining Active Sampling with Parameter Estimation and Prediction in Single Networks},
year = {2013},
booktitle = {Proceedings of the ICML Structured Learning Workshop}
}
</pre>
</blockquote>
</div>
<br>
<div class="pub_name">Incentivized Sharing in Social Networks</div>
Joseph J. Pfeiffer III and Elena Zheleva <br>
In Proceedings of the First International Workshop on Online Social Systems, 2012
<br>
<a href="pubs/IncentivizedSharing_WOSS2012.pdf" style="font-size: small">[PDF]</a>
<a href="javascript:sizeTbl('woss2012')", style="font-size: small">[BibTeX]</a>
<div id=woss2012 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {woss2012,
author = {Joseph J. {Pfeiffer III} and Elena Zheleva},
title = {Incentivized Sharing in Social Networks},
year = {2012},
booktitle = {Proceedings of the First International Workshop on Online Social Systems}
}
</pre>
</blockquote>
</div>
<br>
<div class="pub_name">Fast Generation of Large Scale Social Networks While Incorporating Transitive Closures</div>
Joseph J. Pfeiffer III, Timothy La Fond, Sebastian Moreno and Jennifer Neville <br>
In Proceedings of the Fourth ASE/IEEE International Conference on Social Computing, 2012
<br>
<a href="pubs/Pfeiffer_TCL_SocialCom2012.pdf" style="font-size: small">[PDF]</a>
<a href="javascript:sizeTbl('socialcom2012')", style="font-size: small">[BibTeX]</a>
<div id=socialcom2012 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {socialcom2012,
author = {Joseph J. {Pfeiffer III} and Timothy {La Fond} and Sebastian Moreno and Jennifer Neville},
title = {Fast Generation of Large Scale Social Networks While Incorporating Transitive Closures},
year = {2012},
booktitle = {Fourth ASE/IEEE International Conference on Social Computing (SocialCom)}
}
</pre>
</blockquote>
</div>
<br>
<div class="pub_name">Active Sampling of Networks</div>
Joseph J. Pfeiffer III, Jennifer Neville and Paul N. Bennett <br>
In Proceedings of the 10th Workshop on Mining and Learning with Graphs, 2012
<br>
<a href="pubs/ActiveSampling_MLG2012.pdf" style="font-size: small">[PDF]</a>
<a href="javascript:sizeTbl('mlg2012')", style="font-size: small">[BibTeX]</a> 
<a href="pubs/ActiveSampling_MLG2012.ppt" style="font-size: small">[PPT]</a>
<div id=mlg2012 name=tbl1 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {mlg2012,
author = {Joseph J. {Pfeiffer III} and Jennifer Neville and Paul N. Bennett},
title = {Active Sampling of Networks},
year = {2012},
booktitle = {10th Workshop on Mining and Learning with Graphs (MLG)}
}
</pre>
</blockquote>
</div>
<br>
<div class="pub_name">Methods to Determine Node Centrality and Clustering in Graphs with Uncertain Structure</div>
Joseph J. Pfeiffer III and Jennifer Neville <br>
Proceedings of the 5th International AAAI Conference on Weblogs and Social Media, ICWSM, 2011
<br>
<a style="font-size: small" href="pubs/ProbGraphMetrics-ICWSM2011.pdf">[PDF]</a>
<a href="javascript:sizeTbl('icwsm2011')", style="font-size: small">[BibTeX]</a>
<a href="http://arxiv.org/abs/1104.0319" style="font-size: small">[Extended Version]</a>
<a href="enron.html" style="font-size: small">[MySQL 5.5 Database File]</a>
<div id=icwsm2011 name=tbl1 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {icwsm2011,
author = {Joseph J. {Pfeiffer III} and Jennifer Neville},
title = {Methods to Determine Node Centrality and Clustering in Graphs with Uncertain Structure},
year = {2011},
booktitle = {Proceedings of the 5th Interational AAAI Converence on Weblogs and Social Media, ICWSM 2011}
}
</pre>
</blockquote>
</div>
<br>
<div class="pub_name">Using Touch to Localize Flexible Materials During Manipulation</div>
Robert Platt, Jr., Frank Permenter, Joseph J. Pfeiffer III<br>
IEEE Transactions on Robotics, Special issue on a robotic sense of touch. June, 2011
<br>
<a href="pubs/BumpFinder-TRO2011.pdf" style="font-size: small">[PDF]</a>
<a href="javascript:sizeTbl('tro2011')", style="font-size: small">[BibTeX]</a>
<div id=tro2011 name=tbl1 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {tro2011,
author = {Robert {Platt, Jr.} and Frank Permenter and Joseph J. {Pfeiffer III}},
title = {Using Touch to Localize Flexible Materials During Manipulation},
year = {2011},
booktitle = {IEEE Transactions on Robotics, Special Issue on a Robotic Sense of Touch. June, 2011}
}
</pre>
</blockquote>
</div>
<div class="pub_name">Probabilistic Paths and Centrality in Time</div>
Joseph J. Pfeiffer III and Jennifer Neville <br>
Proceedings of the 4th SNA-KDD Workshop, KDD, 2010. <br>
<a href="pubs/ProbPaths-SNAKDD2010.pdf" style="font-size: small">[PDF]</a>
<a href="javascript:sizeTbl('snakdd2010')", style="font-size: small">[BibTeX]</a>
<a href="pubs/SNAKDD2010.pptx" style="font-size: small">[PPTX]</a>
<div id=snakdd2010 name=tbl1 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {snakdd2010,
author = {Joseph J. {Pfeiffer III} and Jennifer Neville},
title = {Probabilistic Paths and Centrality in Time},
year = {2010},
booktitle = {Proceedings of the 4th SNA-KDD Workshop, KDD, 2010}
}
</pre>
</blockquote>
</div>
<br>
<div class="pub_name">Inferring hand-object configuration directly from tactile data</div>
Robert Platt, Jr., Frank Permenter, and Joseph J. Pfeiffer III<br>
Electronically published proceeding of the Mobile Manipulation Workshop, IEEE Conference on Robotics and Automation (ICRA), May 2010.
<br>
<a href="pubs/BumpFinder-ICRA2010.pdf" style="font-size: small">[PDF]</a>
<a href="javascript:sizeTbl('mmwicra2010')", style="font-size: small">[BibTeX]</a>
<div id=mmwicra2010 name=tbl1 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {mmwicra2010,
author = {Robert {Platt, Jr.} and Frank Permenter and Joseph J. {Pfeiffer III}},
title = {Inferring hand-object configuration directly from tactile data},
year = {2010},
booktitle = {Electronically published proceeding of the Mobile Manipulation Workshop, IEEE Conference on Robotics and Automation (ICRA), May 2010.}
}
</pre>
</blockquote>
</div>
<br>
<div class="pub_name">A General Framework for Reconciling Multiple Weak segmentations of an Image</div>
Soumya Ghosh, Joseph J. Pfeiffer III and J. Mulligan. <br>
IEEE Workshop on Applications of Computer Vision, 2009. <br>
<a href="pubs/ComboSeg-WACV2009.pdf" style="font-size: small">[PDF]</a> 
<a href="javascript:sizeTbl('wacv2009')", style="font-size: small">[BibTeX]</a>
<div id=wacv2009 name=tbl1 style="overflow:hidden;display:none">
<blockquote>
<pre>
@inproceedings {wacv2009,
author = {Soumya Ghosh and Joseph J. {Pfeiffer III} and Jane Mulligan},
title = {A General Framework for Reconciling Multiple Weak Segmentations of an Image},
year = {2009},
booktitle = {IEEE Workshop on Applications of Computer Vision}
}
</pre>
</blockquote>
</div>
<br><br>
<div class="pub_name">Overcoming Uncertainty for Within-Network Relational Machine Learning</div>
Joseph J. Pfeiffer III <br>
Ph.D. Thesis<br>
<a href="pubs/thesis.pdf" style="font-size: small">[PDF]</a> 
<a href="javascript:sizeTbl('thesis')", style="font-size: small">[BibTeX]</a>
<div id=thesis name=tbl1 style="overflow:hidden;display:none">
<blockquote>
<pre>
@phdthesis {thesis,
author = {Joseph J. {Pfeiffer III}},
title = {Overcoming Uncertainty for Within-Network Relational Machine Learning},
year = {2015},
month = May,
school = {Purdue University}
}
</pre>
</blockquote>
</div>
<br><br>
<div class="heading" id="Codes" style="margin: 0px 0px 10px 0px">Codes</div>
<p> A collection of code for various models, generally written in Python for the simplest forms of representations. Several of these are done simply for my own practice/experience and I think they could be useful for someone else looking for example code. Some of these are implementations of other work and some from my own work above.
</p>
<div class="pub_name">Attributed Graph Models</div>
Implementation of the above AGM model (WWW2014), using the simple FCL proposal distribution. Uses a simple 0/1 label value. Requires Python w/ matplotlib. The first implementation uses the Preferential Attachment model of Barabasi/Albert to create a degree distribution for AGM/FCL, while the second version learns/samples from an observed network.
<br>
<a href="public_code/AGM_PA_Generator.py" style="font-size: small">[PA-AGM-FCL]</a>
<a href="public_code/AGM_Generator.py" style="font-size: small">[AGM-FCL]</a>
<br>
<div class="pub_name">Data Augmentation, Stochastic EM and EM</div>
Implementation of the above ICDM2014 paper on Data Augmentation. Has some tests and comparisons between DA, Stochastic EM and EM for Naive Bayes and Logistic Regression. Implemented in C++ and contains a distribution of liblinear and eigen3. Please read and carry on any appropriate copyright notices for these works.
<br>
<a href="public_code/ICDM_DA_Distribute.tar.gz" style="font-size: small">[Code]</a>
<br>
<div class="pub_name">Log-Linear models</div>
A simple Python implementation for learning log-linear (maximum entropy) models. Just uses 0/1 feature/label values, and implemented for my own practice. Requires Python and scipy/numpy; I implemented both calling scipy's BFGS optimization, as well as my own GD method for fun.
<br>
<a href="public_code/BFGS_LogLinearModel.py" style="font-size: small">[BFGS]</a>
<a href="public_code/GD_LogLinearModel.py" style="font-size: small">[GD]</a>
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