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<html>
<head>
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<style>
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font-family: monaco,Consolas,Lucida Console,monospace;
font-size:14px;
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h1 {
font-family: monaco,Consolas,Lucida Console,monospace;
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<TITLE>Paramveer Dhillon</TITLE>
<META name="description" content="Research in machine learning, artificial intelligence,social networks, network science, natural language processing, computational social science and related areas">
<META name="keywords" content="machine learning, artificial intelligence,social networks, network science, natural language processing, computational social science">
</head>
<body bgcolor=black text=white link=#00FF00 vlink=#00FF00 alink=red>
<hr>
<table>
<tr>
<td>
<font color=white>
<IMG SRC=photos/img1.png WIDTH=250 style="border:2px solid white;" HSPACE=5 ALT=[PHOTO]>
<a name="contact"></a>
<p>
<p>
<p>
<b><h1><font color=#FF00FF>PARAMVEER DHILLON</font></h1></b>
<p>
Assistant Professor<br>
<a href="https://www.si.umich.edu">School of Information</a><br>
<!--<a href="https://cse.engin.umich.edu">Computer Science & Engineering</a> <font color="cyan">(courtesy)</font><br> -->
<a href="https://www.umich.edu"> University of Michigan</a><br><br>
Affiliate Faculty<br>
<a href="https://midas.umich.edu">Michigan Institute for Data Science (MIDAS)</a><br>
<a href="https://e-hail.umich.edu">E-Health & AI Initiative (e-HAIL)</a><br>
<a href="https://members.precisionhealth.umich.edu/member/dhillonp/">Michigan Precision Health</a><br><br>
Digital Fellow<br>
<a href="http://ide.mit.edu"> MIT Initiative on the Digital Economy</a>
<br>
<p>
<p>
<font color="cyan">Office:</font> 3389 North Quad, 105 S. State Street, Ann Arbor, MI 48109<br>
<font color="cyan">Phone:</font> 734-764-5876<br>
<font color="cyan">Email:</font> lastname followed by the letter 'p' at umich dot edu<br>
<font color="cyan">Twitter:</font> <a href="https://twitter.com/dhillon_p">@dhillon_p</a><br>
<font color="cyan">Google Scholar:</font> <a href="https://scholar.google.co.in/citations?user=vu5Mw_0AAAAJ&hl=en">https://goo.gl/FEsnE8</a><br>
<p>
<td>
</tr>
</table>
</font>
<p>
<hr>
<STRONG> <font color=#FF00FF> <u>Quick Navigation Links</u> </font> </STRONG>
<p>
Please follow the links below to navigate to specific subsections of the site or just scroll down to view all the content.
<p>
<font color=white>
<a href="#researchinterests">Research Interests</a> </li>
</b></a>
</font>
 
<!--<font color=white>
<a href="#projects">Current Projects</a> </li>
</b></a>
</font>
 -->
<font color=white>
<a href="#selectpubs">Publications</a> </li>
</b></a>
</font>
 
<font color=white>
<a href="#profbio">Professional Background</a> </li>
</b></a>
</font>
 
<font color=white>
<a href="#teaching">Teaching</a> </li>
</b></a>
</font>
 
<font color=white>
<a href="#awards">Awards</a> </li>
</b></a>
</font>
 
<font color=white>
<a href="#students">Research Group</a> </li>
</b></a>
</font>
 
<font color=white>
<a href="#service">Service</a> </li>
</b></a>
</font>
 
<font color=white>
<a href="#software">Software</a> </li>
</b></a>
</font>
 
<p>
<hr>
<p>
<a name="researchinterests"></a>
<STRONG> <font color=#FF00FF><u>Research Interests</u></font> </STRONG>
<p>
My research centers around studying <font color="red"> People & Technology</font> by <font color="blue">developing new Machine Learning & Data Science Methods.</font> I am focused on developing such methods to model text-based online interaction patterns to understand how Internet technologies impact our lives and economy. In current and past research, I have analyzed data from several online platforms, including <font color="cyan">The New York Times</font>, <font color="orange">Boston Globe</font>, <font color="cyan">YouTube</font>, <font color="orange">Reddit</font>, & <font color="cyan">Twitter.</font>
</p>
<p>
In addition to the substantive research focus on <font color="red">People & Technology,</font> some of my research projects are solely motivated by challenging methodological scenarios, e.g., those encountered in applications where the data is sparse and high-dimensional or the causal treatment/outcome is high-dimensional. Occasionally, I examine such text-based research problems from <font color="red">Health/Medicine</font>, <font color="orange">Education</font>, and <font color="cyan">Environmental Science</font> domains. To overcome these challenges, my research methodology draws on <font color="cyan">Text Mining</font>, <font color="orange">Deep Learning</font>, and <font color="cyan">Causal Inference/Applied Econometrics.</font>
</p>
<p>
In summary, my research aims to advance knowledge and inform policy at the intersection of <font color="cyan">data science</font>, <font color="orange">technology</font>, and <font color="cyan"> society.</font> In terms of academic disciplines, my research straddles the fields of <font color="red">Information Systems,</font> <font color="orange">Information Science,</font> & <font color="cyan">Computer Science.</font>
</p>
<p>
<font color="yellow">Key currently active projects include:</font>
<ol type="a">
<li> <font color="cyan"> Improving Human-LLM co-writing: Collaboration strategies, Psychological Ownership, Persona, and Personalization.</font> [cf. NAACL '24, CHI '24, and more forthcoming]
<li><font color="orange"> Temporal Leakage of Facts in LLMs.</font>
<li> <font color="cyan"> Long-term effects of Recommender Systems.</font> [cf. WWW '24]
</ol>
</p>
<!--
<a name="projects"></a>
<STRONG> <font color=#FF00FF><u>Current Projects</u></font> </STRONG>
<ol>
<li> Empirical studies of online news consumption: We study how the i
<li> Studying the impact of internet technologies (including social media) on users.
<li> Developing new <font color="cyan">Machine Learning, Text Mining, Network Science, and Causal Inference</font> methods for 1 and 2.
</ol>
</p>-->
<hr>
<a name="profbio"></a>
<STRONG> <font color=#FF00FF><u>Professional Background</u></font> </STRONG>
<p>
Starting Fall 2019, I am an Assistant Professor in the <a href="https://www.si.umich.edu">School of Information (SI)</a> at the <a href="https://www.umich.edu"> University of Michigan</a>, where I research and teach various topics in <font color="cyan">Artificial Intelligence (AI)</font>, broadly defined.
<p>
<!--and <a href="https://cse.engin.umich.edu">Computer Science & Engineering</a> <font color="cyan">(courtesy)</font>-->
<p>
I got my A.M. in <a href ="https://statistics.wharton.upenn.edu"> Statistics</a> and M.S.E. & Ph.D. in <a href="https://www.cis.upenn.edu"> Computer Science</a> from the <a href="https://www.upenn.edu"> University of Pennsylvania</a> where I was advised by Profs. <a href="http://www.cis.upenn.edu/~ungar/">Lyle Ungar</a>, <a href="http://deanfoster.net/index.pl">Dean Foster</a> (now at Amazon), and <a href="https://www.med.upenn.edu/apps/faculty/index.php/g5455356/p10656">James Gee</a>. During my time at Penn, I also worked closely with Dr. <a href="http://stnava.github.io/Resume/">Brian Avants</a> on topics related to Machine Learning in Brain Imaging. My Ph.D. thesis was entitled, <font color="cyan">"Advances in Spectral Learning with Applications to Text Analysis and Brain Imaging,"</font> and won the <font color="orange">Best Computer Science Dissertation Award at Penn (Morris and Dorothy Rubinoff Award)</font>. It proposed novel statistical methods for problems in Text Modeling/NLP and Brain Imaging. More specifically, my doctoral dissertation proposed statistically and computationally efficient methods for the problem of learning <font color="cyan">word embeddings in NLP</font> and for the problem of <font color="cyan">data-driven parcellation/segmentation of human brain images</font>. Our methods not only gave predictive accuracies that were better or comparable to the state-of-the-art statistical methods (circa 2015) but also had strong theoretical guarantees. Please look at our <font color="cyan">JMLR 2015</font> and <font color="cyan">NeuroImage 2014</font> papers for more details. I also did other research in my Ph.D. on establishing connections between PCA and ridge regression (cf. <font color="cyan">JMLR 2013</font>) and on provably faster row and column subsampling algorithms for least squares regression (cf. <font color="cyan">NeurIPS 2013a,b</font>).
<p>
<p>
Towards the end of my Ph.D., I got interested in computational social science and causal inference. After finishing my Ph.D., I proceeded to complete a Postdoc with Prof. <a href="https://mitsloan.mit.edu/faculty/directory/sinan-kayhan-aral">Sinan Aral</a> at <a href="http://www.web.mit.edu/">MIT</a>. At MIT, I worked on several social science problems, e.g., finding influential individuals in a social network with realistic real-world assumptions (cf. <font color="cyan">Nature Human Behaviour 2018</font>), devising revenue maximizing price discrimination strategies for newspapers (cf. <font color="cyan">Management Science 2020</font>), and designing sequential interventions for news websites to help them maintain sustained user engagement (cf. <font color="cyan">Management Science 2022</font>). At MIT, I was also involved with the <a href ="http://ide.mit.edu">Initiative on the Digital Economy</a> (IDE) on studying the <font color="cyan">economic and societal impacts of AI</font>. I am still affiliated with IDE as a Digital Fellow.
<p>
<p>
Much before all this, I was a carefree undergrad studying Electronics & Electrical Communication Engineering at <a href="https://pec.ac.in">PEC</a> in my hometown of <a href="https://en.wikipedia.org/wiki/Chandigarh">Chandigarh</a>, India. I developed my interest in AI/ML and the desire to pursue a Ph.D. as a result of three memorable summer internships, before my Ph.D., at <a href="http://www.cvc.uab.es/?page_id=226">Computer Vision Center @ Barcelona</a> <font color="cyan">[summer 2006]</font>, <a href="https://ei.is.tuebingen.mpg.de">Max Planck Institute for Intelligent Systems @ Tuebingen</a> <font color="cyan">[summer 2008]</font>, and <a href="https://www.isi.edu/research_groups/nlg/home">Information Sciences Institute/USC @ Los Angeles</a> <font color="cyan">[summer 2009]</font>.
<p>
<a name="teaching"></a>
<hr>
<STRONG> <font color=#FF00FF><u> Teaching</u> </font> </STRONG>
<p>
<ol>
<li><font color=cyan>SI 671/721</font><em><font color=orange> Data Mining: Methods and Applications</font></em> <font color=darkred>[Significantly Re-designed]</font> @ F[19,20,21,22,23].<br>
<li><font color=cyan>SIADS 642 [online]</font><em><font color=orange> Introduction to Deep Learning</font></em> <font color=darkred>[Developed from scratch]</font> @ F20-present.</font><br>
<li><font color=cyan>SIADS 532 [online]</font><em><font color=orange> Data Mining I</font></em> @ W21-present.<br>
<li><font color=cyan>SIADS 632 [online]</font><em><font color=orange> Data Mining II</font></em> @ F21-present.</font><br>
</ol>
<p>
<a name="students"></a>
<hr>
<STRONG> <font color=#FF00FF><u>Research Group</u> </font> </STRONG><br><br>
<font color=#C70039><u>Ph.D. Students</u> </font> </STRONG>
<p>
<ol>
<li>Yachuan Liu <font color=cyan>[F20-]</font><em> Last Stop: <font color=orange> BS @ UC Berkeley.</font></em><br>
<li>Sanzeed Anwar <font color=cyan>[F21-]</font><em> Last Stop: <font color=orange> BS+MEng @ MIT.</font></em><br>
<li>Bohan Zhang <font color=cyan>[F22-]</font><em> Last Stop: <font color=orange> MS @ University of Michigan.</font></em><br>
<li>Siqi Liang <font color=cyan>[W25-]</font><em> Last Stop: <font color=orange> MS @ University of Southern California.</font></em><br>
</ol>
<p>
<font color=#C70039><u>Undergrad/Masters Students</u> </font> </STRONG>
<p>
<ol>
<li>Aditya Prabhakar</font><em></em><font color=cyan> [Undergrad]</font><br>
<li>Yixuan Jiang<em></em><font color=cyan> [Masters]</font> <br>
</ol>
<p>
<font color=#C70039><u>Former Students</u> </font> </STRONG>
<p>
<ol>
<li>Xinyue Li<em></em><font color=cyan>[MS '23, next Ph.D. in Statistics at Boston University]</font><br>
<li>Ella Li<em></em><font color=cyan>[MS '23, next Ph.D. in CS at Northeastern University]</font><br>
<li>Siqi Ma</font><em></em><font color=cyan> [BS '23, next MS in Statistics at Stanford University]</font><br>
<li>Shaochun Zheng</font><em></em><font color=cyan> [BS '23, next MS in CS at UC San Diego]</font><br>
<li>Houming Chen<em></em><font color=cyan> [BS '23, next Ph.D. in CS at University of Michigan]</font> <br>
<li>Yushi She<em></em><font color=cyan> [BS '23, next MS in CS at Georgia Tech]</font> <br>
<li>Ted Yuan<em></em><font color=cyan> [BS '23, next MS in ECE at Carnegie Mellon University]</font> <br>
<li>Evan Weissburg<em></em><font color=cyan> [BS '23, next Software Engineer at Jane Street Capital]</font> <br>
<li>Arya Kumar <em></em><font color=cyan> [BS '23, next Software Engineer at Jane Street Capital]</font> <br>
<li>Jupiter Zhu<em></em><font color=cyan> [BS '22, next MS in CS at Stanford University]</font> <br>
<li>Tianyi Li<em></em><font color=cyan> [BS '22, next MS in INI at Carnegie Mellon University]</font> <br>
<li>Xianglong Li<em></em><font color=cyan> [BS '22, next MS in CS at Yale University]</font> <br>
<li>Florence Wu</font><em></em><font color=cyan> [BS '22, next MS in CS at Harvard University]</font> <br>
<li>Yingzhuo Yu</font><em></em><font color=cyan> [BS '22, next MS in CS at UIUC]</font> <br>
<li>Xingjian Zhang<em></em><font color=cyan> [BS '22, next Ph.D. in Information at UMSI]</font> <br>
<li>Bohan Zhang<em></em><font color=cyan> [MS '22, next Ph.D. in Information at UMSI]</font> <br>
<li>Zhengyang Shan</font><em></em><font color=cyan> [MS '22, next Ph.D. in CDS at Boston University]</font> <br>
<li>Jiapeng Guo <font color=cyan>[BS '21, next MS in CS at Columbia University]</font><em></em><br>
<li>Zilu Wang <font color=cyan>[BS '21, next MS in MS&E at Stanford University]</font><em></em><br>
</ol>
<p>
<p>
I always have openings for strong students in my group at all levels <font color=orange>(Postdoctoral, Ph.D, Masters, or Undergrad)</font>. I am broadly looking to supervise students who are interested in working on <font color=cyan>ML, Information Systems, or NLP</font>. Prior research experience in these areas is highly valued, as are strong programming skills and a solid applied math/statistics background.
<p>
<p><font color=green><u>Process</u></font>: <font color=orange>Masters/Undergrads (already at University of Michigan)</font> interested in working with me can email their CV and transcripts. <font color=orange>Prospective Postdocs</font> can directly email me their latest CV and Research Statement. <font color=orange>Prospective Ph.D. students</font> need not email me directly but are encouraged to apply to our Ph.D. program <a href="https://www.si.umich.edu/programs/phd-information/how-do-i-apply">here</a> and mention my name as a potential advisor. The deadline is December 1 each year.<p>
<a name="awards"></a>
<hr>
<STRONG> <font color=#FF00FF><u>Awards</u> </font> </STRONG>
<p>
<ol>
<li> <FONT COLOR="white">INFORMS Information Systems Society (ISS)</font> <font color=cyan> Gordon B. Davis Young Scholar Award,</font> <FONT COLOR="#C70039">2021.</font>
<li> <FONT COLOR="white">INFORMS Annual Conference</font> <font color=cyan> (Best Paper Award),</font> <FONT COLOR="#C70039">2020.</font>
<li> <FONT COLOR="white">Workshop on Information Systems and Economics (WISE)</font> <font color=cyan> (Runner-up Best Paper Award),</font> <FONT COLOR="#C70039">2016.</font>
<li> <FONT COLOR="white">Rubinoff Best Doctoral Dissertation Award </font> <font color=cyan>(awarded by <a href="https://www.cis.upenn.edu">Penn CIS</a>),</font></a> <FONT COLOR="#C70039">2015.</font>
</ol>
<p>
<a name="service"></a>
<hr>
<STRONG> <font color=#FF00FF><u>Service to the Profession</u> </font> </STRONG>
<p>
<ol>
<li> <a href="https://jmlr.org/editorial-board.html"><FONT COLOR="white">Editorial Board</font></a> <FONT COLOR="#C70039">JMLR [2020-].</font>
<li> Ad-hoc Reviewer: <FONT COLOR="#C70039">Nature</font>, <FONT COLOR="#C70039">Nature Human Behaviour</font>, <FONT COLOR="#C70039">Nature Communications</font>, <FONT COLOR="#C70039">PNAS</font>, <FONT COLOR="#C70039">JAIR</font>, <FONT COLOR="#C70039">Information Science Research (ISR)</font>, <FONT COLOR="#C70039">Management Science</font>, <FONT COLOR="#C70039">Marketing Science</font>, <FONT COLOR="#C70039">IEEE TKDE</font>, <FONT COLOR="#C70039">IEEE TPAMI.</font>
<li> Reviewer/PC/SPC Member @ Core AI/ML Conferences: <font color=cyan>[every year since 2013]</font> <FONT COLOR="#C70039">NeurIPS</font>, <FONT COLOR="#C70039">ICML</font>, <FONT COLOR="#C70039">AISTATS</font>, <FONT COLOR="#C70039">ICLR</font>, <FONT COLOR="#C70039">AAAI</font>, <FONT COLOR="#C70039">IJCAI.</font>
<li> Reviewer/PC/SPC Member @ Core Information Systems Conferences: <font color=cyan>[every year since 2017]</font> <FONT COLOR="#C70039">ICIS</font>, <FONT COLOR="#C70039">CIST,</font> <FONT COLOR="#C70039">WISE.</font>
<li> Reviewer/PC/SPC Member @ Core NLP/Computational Social Science Conferences: <font color=cyan>[sporadically] </font> <FONT COLOR="#C70039">EMNLP</font>, <FONT COLOR="#C70039">NAACL</font>, <FONT COLOR="#C70039">ICWSM</font>, <FONT COLOR="#C70039">IC2S2.</font>
</ol>
<p>
<a name="selectpubs"></a>
<hr>
<p>
<STRONG> <font color=#FF00FF><u> Selected Publications</u> </font> </STRONG>
<p>
<font color=red> Below is a list of selected publications that highlight my core research interests and contributions.</font> A complete list of all my publications is available <a href="#publications">here</a>.
</p>
<!--
<p>
Note: <FONT COLOR="cyan"><i> The list below only contains the published papers. I do not list the various {preprints, working papers, papers under review} below for a variety of reasons. Please get in touch with me if you're interested in seeing them.</i> </font>
<p> -->
<p>
<sup>*</sup>indicates alphabetical author listing.
<p>
<ul>
<p>
<li>
<em>
<font color=orange>
How Digital Paywalls Shape News Coverage.
</font></em><br>
<font color=cyan>Paramveer Dhillon</font>, Anmol Panda, and Libby Hemphill.</font><br>
<FONT COLOR="#C70039">PNAS Nexus</FONT>, 2025.
<BR>
<a href="https://academic.oup.com/pnasnexus/article/4/1/pgae511/7960035">[PDF]</a>
</li>
<p>
<p>
<li>
<em>
<font color=orange>
Causal Inference for Human-Language Model Collaboration.
</font></em><br>
Bohan Zhang, Yixin Wang, and <font color=cyan>Paramveer Dhillon.</font><br>
<FONT COLOR="#C70039">NAACL(Main Conference)</FONT> <font color="yellow">(Annual Conference of the North American Chapter of ACL)</font>, 2024.
<BR>
<a href="https://arxiv.org/abs/2404.00207">[PDF]</a>
</li>
<p>
<p>
<li>
<em>
<font color=orange>
Shaping Human-AI Collaboration: Varied Scaffolding Levels in Co-writing with Language Models.
</font></em><br>
<font color=cyan>Paramveer Dhillon</font>, Somayeh Molaei, Jiaqi Li, Maximilian Golub, Shaochun Zheng, and Lionel Robert.<br>
<FONT COLOR="#C70039">CHI</FONT> <font color="yellow">(SIGCHI Conference on Human Factors in Computing Systems)</font>, 2024.
<BR>
<a href="https://arxiv.org/abs/2402.11723">[PDF]</a>
</li>
<p>
<p>
<li>
<em>
<font color=orange>
Filter Bubble or Homogenization? Disentangling the Long-Term Effects of Recommendations on User Consumption Patterns.
</font></em><br>
Sanzeed Anwar, Grant Schoenebeck, and <font color=cyan>Paramveer Dhillon.</font><br>
<FONT COLOR="#C70039">WWW</FONT> <font color="yellow">(The Web Conference)</font>, 2024.
<BR>
<a href="https://arxiv.org/abs/2402.15013">[PDF]</a>
</li>
<p>
<p>
<li>
<em>
<font color=orange>
Targeting for long-term outcomes.
</font></em><br>
Jeremy Yang, Dean Eckles, <font color=cyan>Paramveer Dhillon</font>, and Sinan Aral.<br>
<FONT COLOR="#C70039">Management Science</FONT>, 2023.
<BR>
<a href="papers/targeting-long-term.pdf">[PDF]</a>
</li>
<p>
<p>
<li>
<em>
<font color=orange>
What (Exactly) is Novelty in Networks? Unpacking the Vision Advantages of Brokers, Bridges, and Weak Ties.
</font></em><br>
Sinan Aral, <font color=cyan>Paramveer Dhillon</font>.<br>
<FONT COLOR="#C70039">Management Science</FONT>, 2022.
<BR>
<a href="papers/aral-dhillon-novelty.pdf">[PDF]</a>
</li>
<p>
<li>
<em>
<font color=orange>
Modeling Dynamic User Interests: A Neural Matrix Factorization Approach.
</font></em><br>
<font color=cyan>Paramveer Dhillon</font>, Sinan Aral.<br>
<FONT COLOR="#C70039">Marketing Science</FONT>, 2021.
<BR>
<a href="papers/dhillon-aral-dynamic-interests-mksc.pdf">[PDF]</a>
</li>
<p>
<p>
<li>
<em>
<font color=orange>
Digital Paywall Design: Implications for Content Demand & Subscriptions.<sup>*</sup>
</font></em><br>
Sinan Aral, <font color=cyan>Paramveer Dhillon.</font><br>
<FONT COLOR="#C70039">Management Science</FONT>, 2020.
<BR>
<a href="papers/dhillon20Paywall.pdf">[PDF]</a>
</li>
<p>
<p>
<li>
<em>
<font color=orange>
Social Influence Maximization under Empirical Influence Models.<sup>*</sup>
</font></em><br>
Sinan Aral, <font color=cyan>Paramveer Dhillon.</font><br>
<FONT COLOR="#C70039">Nature Human Behaviour</FONT>, 2018.
<BR>
<a href="https://www.nature.com/articles/s41562-018-0346-z.epdf?author_access_token=N3H-02ldeE4Au_GNS-_Sl9RgN0jAjWel9jnR3ZoTv0PVP3dTdNThCuDLo3WU2Y7zDTMMUjiXDkdH1FtGlpFLC9mswZaf5ycdN2RqIvrlWelLux3HrjtdxwCVD7Cjkt_1NCfXSrl3l-i5NieYjFWGqg%3D%3D">[PDF]</a>
<a href="https://static-content.springer.com/esm/art%3A10.1038%2Fs41562-018-0346-z/MediaObjects/41562_2018_346_MOESM1_ESM.pdf">[Supplementary Information]</a>
</li>
<p>
<li>
<em>
<font color=orange>
Eigenwords: Spectral Word Embeddings.
</font></em><br>
<font color=cyan>Paramveer Dhillon</font>, Dean Foster, and Lyle Ungar.<br>
<FONT COLOR="#C70039">JMLR</FONT> <font color="yellow">(Journal of Machine Learning Research)</font>, 2015.
<BR>
<a href="papers/dhillon15a.pdf">[PDF]</a>
</li>
<p>
<li>
<em>
<font color=orange>
New Subsampling Algorithms for Fast Least Squares Regression.
</font></em><br>
<font color=cyan>Paramveer Dhillon</FONT>, Yichao Lu, Dean Foster, and Lyle Ungar.<br>
<FONT COLOR="#C70039">NeurIPS</FONT> <font color="yellow">(Advances in Neural Information Processing Systems Conference)</font>, 2013.
<BR>
<a href="papers/uluruNIPS2013.pdf">[PDF]</a>
<a href="papers/uluru_appendix.pdf">[Supplementary Information]</a>
</li>
<p>
<li>
<em>
<font color=orange>
Faster Ridge Regression via the Subsampled Randomized Hadamard Transform.
</font></em><br>
Yichao Lu, <font color=cyan>Paramveer Dhillon</FONT>, Dean Foster, and Lyle Ungar.<br>
<FONT COLOR="#C70039">NeurIPS</FONT> <font color="yellow">(Advances in Neural Information Processing Systems Conference)</font>, 2013.
<BR>
<a href="papers/ridgeNIPS2013.pdf">[PDF]</a>
<a href="papers/ridge2013appendix.pdf">[Supplementary Information]</a>
</li>
<p>
<li>
<em>
<font color=orange>
A Risk Comparison of Ordinary Least Squares vs Ridge Regression.
</font></em><br>
<font color=cyan>Paramveer Dhillon</FONT>, Dean Foster, Sham Kakade, and Lyle Ungar.<br>
<FONT COLOR="#C70039">JMLR</FONT> <font color="yellow">(Journal of Machine Learning Research)</font>, 2013.
<BR>
<a href="papers/dhillon13a.pdf">[PDF]</a>
</li>
<p>
<li>
<em>
<font color=orange>
Two Step CCA: A new spectral method for estimating vector models of words.
</font></em><br>
<font color=cyan>Paramveer Dhillon</FONT>, Jordan Rodu, Dean Foster, and Lyle Ungar.<br>
<FONT COLOR="#C70039">ICML</FONT><font color="yellow">(International Conference on Machine Learning)</font>, 2012.
<BR>
<a href="papers/dhillon_icml12_cca.pdf">[PDF]</a> <a href="papers/supplemental_icml12.pdf">[Supplementary Information]</a>
</li>
<p>
<p>
<li>
<em>
<font color=orange>
Multi-View Learning of Word Embeddings via CCA.
</font></em><br>
<font color=cyan>Paramveer Dhillon</FONT>, Dean Foster, and Lyle Ungar.<br>
<FONT COLOR="#C70039">NeurIPS</FONT><font color="yellow">(Advances in Neural Information Processing Systems Conference)</font>, 2011.
<BR>
<a href="papers/nips11dhillon.pdf">[PDF]</a> <a href="papers/nips11dhillon_supp.pdf">[Supplementary Information]</a>
</li>
<p>
<li>
<em>
<font color=orange>
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning.
</font></em><br>
<font color=cyan>Paramveer Dhillon</FONT>, Dean Foster, and Lyle Ungar.<br>
<FONT COLOR="#C70039">JMLR</FONT> <font color="yellow">(Journal of Machine Learning Research)</font>, February 2011.
<BR>
<a href="papers/dhillon11a.pdf">[PDF]</a>
</li>
<p>
</ul>
<a name="publications"></a>
<hr>
<p>
<STRONG> <font color=#FF00FF><u> Publications (Full List)</u> </font> </STRONG>
<p>
Acronyms for conferences and journals wherever applicable:<br><br>
<FONT COLOR="orange"><u>[General Science venues]</u></font> <FONT COLOR="#C70039">PNAS:</font> Proceedings of the National Academy of Sciences.<br><br>
<FONT COLOR="orange"><u>[Statistical Machine Learning/AI/Data Mining venues]</u></font> <FONT COLOR="#C70039">JMLR:</font> Journal of Machine Learning Research; <FONT COLOR="#C70039">NeurIPS:</font> Advances in Neural Information Processing Systems Conference; <FONT COLOR="#C70039">ICML:</font> International Conference on Machine Learning; <FONT COLOR="#C70039">AISTATS:</font> International Conference on Artificial Intelligence and Statistics; <FONT COLOR="#C70039">ECML:</font> European Conference on Machine Learning; <FONT COLOR="#C70039">PAKDD:</font> Pacific-Asia Conference on Knowledge Discovery and Data Mining, <FONT COLOR="#C70039">ICDM:</font> International Conference on Data Mining.<br><br>
<FONT COLOR="orange"><u>[NLP/CL/HCI venues]</u></font> <FONT COLOR="#C70039">NAACL:</font> Annual Conference of the North American Association for Computational Linguistics; <FONT COLOR="#C70039">EMNLP:</font> International Conference on Empirical Methods in Natural Language Processing; <FONT COLOR="#C70039">ACL:</font> Annual Conference of the Association for Computational Linguistics; <FONT COLOR="#C70039">COLING:</font> International Conference on Computational Linguistics; <FONT COLOR="#C70039">CHI:</font> SIGCHI Conference on Human Factors in Computing Systems; <FONT COLOR="#C70039">CSCW:</font> ACM Conference on Computer-Supported Cooperative Work and Social Computing.<br><br>
<FONT COLOR="orange"><u>[Social Media/Web/Computational Social Science/Information Management venues]</u></font> <FONT COLOR="#C70039">WWW:</font> The Web Conference; <FONT COLOR="#C70039">ICWSM:</font> International Conference on Web and Social Media; <FONT COLOR="#C70039">CIKM:</font> International Conference on Information and Knowledge Management; <FONT COLOR="#C70039">SocInfo:</font> International Conference on Social Informatics. <br><br>
<FONT COLOR="orange"><u>[(Medicine or Neuro Imaging venues]</u></font> <FONT COLOR="#C70039">JMIR:</font> Journal of Medical Internet Research; <FONT COLOR="#C70039">ISBI:</font> IEEE International Symposium on Biomedical Imaging; <FONT COLOR="#C70039">MICCAI:</font> International Conference on Medical Image Computing and Computer Assisted Intervention.
<p>
<!--
<p>
Note: <FONT COLOR="cyan"><i> The list below only contains the published papers. I do not list the various {preprints, working papers, papers under review} below for a variety of reasons. Please get in touch with me if you're interested in seeing them.</i> </font>
<p> -->
<p>
<sup>*</sup>indicates alphabetical author listing.
<p>
<ol reversed>
<p>
<li>
<em>
<font color=orange>
How Digital Paywalls Shape News Coverage.
</font></em><IMG SRC=photos/new2.gif WIDTH=60 HSPACE=1 ALT=new><br>
<font color=cyan>Paramveer Dhillon</font>, Anmol Panda, and Libby Hemphill.<br>
<FONT COLOR="#C70039">PNAS Nexus</FONT>, 2025.
<BR>
<a href="https://academic.oup.com/pnasnexus/article/4/1/pgae511/7960035">[PDF]</a>
</li>
<p>
<p>
<li>
<em>
<font color=orange>
Demographic Disparity in Wikipedia Coverage: A Global Perspective.
</font></em><IMG SRC=photos/new2.gif WIDTH=60 HSPACE=1 ALT=new><br>
Yulin Yu, Xianglong Li, Tianyi Li, <font color=cyan>Paramveer Dhillon</font>, and Daniel Romero.<br>
<FONT COLOR="#C70039">EPJ Data Science</FONT>, 2025.
<BR>
<a href="https://link.springer.com/article/10.1140/epjds/s13688-025-00530-4">[PDF]</a>
</li>
<p>
<p>
<li>
<em>
<font color=orange>
Leveraging Group-Level Signals for Robust Many-Domain Generalization.
</font></em><IMG SRC=photos/new2.gif WIDTH=60 HSPACE=1 ALT=new><br>
Yachuan Liu, Bohan Zhang, Qiaozhu Mei, and <font color=cyan>Paramveer Dhillon</font>.<br>
<FONT COLOR="#C70039">PAKDD</FONT>, 2025.
<BR>
<a href="">[PDF]</a>
</li>
<p>
<p>
<li>
<em>
<font color=orange>
Shaping Human-AI Collaboration: Varied Scaffolding Levels in Co-writing with Language Models.
</font></em><IMG SRC=photos/new2.gif WIDTH=60 HSPACE=1 ALT=new><br>
<font color=cyan>Paramveer Dhillon</font>, Somayeh Molaei, Jiaqi Li, Maximilian Golub, Shaochun Zheng, and Lionel Robert.<br>
<FONT COLOR="#C70039">CHI</FONT>, 2024.
<BR>
<a href="https://arxiv.org/abs/2402.11723">[PDF]</a>
</li>
<p>
<p>
<li>
<em>
<font color=orange>
Causal Inference for Human-Language Model Collaboration.
</font></em><IMG SRC=photos/new2.gif WIDTH=60 HSPACE=1 ALT=new><br>
Bohan Zhang, Yixin Wang, and <font color=cyan>Paramveer Dhillon.</font><br>
<FONT COLOR="#C70039">NAACL(Main Conference)</FONT>, 2024.
<BR>
<a href="https://arxiv.org/abs/2404.00207">[PDF]</a>
</li>
<p>
<p>
<li>
<em>
<font color=orange>
Wellness Influencer Responses to COVID-19 Vaccines on Social Media: A Longitudinal Observational Study.
</font></em><IMG SRC=photos/new2.gif WIDTH=60 HSPACE=1 ALT=new><br>
Elle O'Brien, Ronith Ganjigunta, and <font color=cyan>Paramveer Dhillon.</font><br>
<FONT COLOR="#C70039">JMIR</FONT>, 2024.
<BR>
<a href="https://www.jmir.org/2024/1/e56651">[PDF]</a>
</li>
<p>
<p>
<li>
<em>
<font color=orange>
Characterizing the Structure of Online Conversations Across Reddit.
</font></em><IMG SRC=photos/new2.gif WIDTH=60 HSPACE=1 ALT=new><br>
Yulin Yu, Julie Jiang, and <font color=cyan>Paramveer Dhillon.</font><br>
<FONT COLOR="#C70039">CSCW</FONT>, 2024.
<BR>
<a href="https://arxiv.org/abs/2209.14836">[PDF]</a>
</li>
<p>
<p>
<li>
<em>
<font color=orange>
Filter Bubble or Homogenization? Disentangling the Long-Term Effects of Recommendations on User Consumption Patterns.
</font></em><IMG SRC=photos/new2.gif WIDTH=60 HSPACE=1 ALT=new><br>
Sanzeed Anwar, Grant Schoenebeck, and <font color=cyan>Paramveer Dhillon.</font><br>
<FONT COLOR="#C70039">WWW</FONT>, 2024.
<BR>
<a href="https://arxiv.org/abs/2402.15013">[PDF]</a>
</li>
<p>
<p>
<li>
<em>
<font color=orange>
Targeting for long-term outcomes.
</font></em><IMG SRC=photos/new2.gif WIDTH=60 HSPACE=1 ALT=new><br>
Jeremy Yang, Dean Eckles, <font color=cyan>Paramveer Dhillon</font>, and Sinan Aral.<br>
<FONT COLOR="#C70039">Management Science</FONT>, 2024.
<BR>
<a href="papers/targeting-long-term.pdf">[PDF]</a>
</li>
<p>
<p>
<li>
<em>
<font color=orange>
PM2.5 forecasting under distribution shift: A graph learning approach
</font></em><br>
Yachuan Liu, Jiaqi Ma, <font color=cyan>Paramveer Dhillon</font>, and Qiaozhu Mei.<br>
<FONT COLOR="#C70039">AI Open</FONT>, 2023.
<BR>
<a href="https://www.sciencedirect.com/science/article/pii/S2666651023000220">[PDF]</a>
</li>
<p>
<p>
<li>
<em>
<font color=orange>
Unique in what sense? Heterogeneous relationships between multiple types of uniqueness and popularity in music.
</font></em><br>
Yulin Yu, Pui Yin Cheung, Yong-Yeol Ahn, and <font color=cyan>Paramveer Dhillon</font>.<br>
<FONT COLOR="#C70039">ICWSM</FONT>, 2023.
<BR>
<a href="papers/icwsm23.pdf">[PDF]</a>
</li>
<p>
<p>
<li>
<em>
<font color=orange>
Unpacking Gender Stereotypes in Film Dialogue.
</font></em><br>
Yulin Yu, Yucong Hao, and <font color=cyan>Paramveer Dhillon</font>.<br>
<FONT COLOR="#C70039">SocInfo</FONT>, 2022.
<BR>
<a href="papers/socinfo22.pdf">[PDF]</a>
</li>
<p>
<p>
<li>
<em>
<font color=orange>
Judging a Book by Its Cover: Predicting the Marginal Impact of Title on Reddit Post Popularity.
</font></em><br>
Evan Weissburg, Arya Kumar, and <font color=cyan>Paramveer Dhillon</font>.<br>
<FONT COLOR="#C70039">ICWSM</FONT>, 2022.
<BR>
<a href="papers/icwsm-22.pdf">[PDF]</a>
</li>
<p>
<p>
<li>
<em>
<font color=orange>
What (Exactly) is Novelty in Networks? Unpacking the Vision Advantages of Brokers, Bridges, and Weak Ties.
</font></em><br>
Sinan Aral, <font color=cyan>Paramveer Dhillon</font>.<br>
<FONT COLOR="#C70039">Management Science</FONT>, 2022.
<BR>
<a href="papers/aral-dhillon-novelty.pdf">[PDF]</a>
</li>
<p>
<p>
<li>
<em>
<font color=orange>
Detecting Struggling Students From Interactive Ebook Data: A Case Study Using CSAwesome.
</font></em><br>
Barbara Ericson, Hisamitsu Maeda, and <font color=cyan>Paramveer Dhillon</font>.<br>
<FONT COLOR="#C70039">SIGCSE Symposium</FONT>, 2022.
<BR>
<a href="papers/sigcse22.pdf">[PDF]</a>
</li>
<p>
<p>
<li>
<em>
<font color=orange>
Social Status and Novelty Drove the Spread of Online Information During the Early Stages of COVID-19.
</font></em>
Antonis Photiou, Christos Nicolaides, and <font color=cyan>Paramveer Dhillon</font>.<br>
<FONT COLOR="#C70039">Nature Scientific Reports</FONT>, 2021.
<BR>
<a href="https://rdcu.be/czhMu">[PDF]</a>
<a href="https://www.readcube.com/articles/supplement?doi=10.1038%2Fs41598-021-99060-y&index=0">[Supplementary Information]</a>
</li>
<p>
<p>
<li>
<em>
<font color=orange>
Modeling Dynamic User Interests: A Neural Matrix Factorization Approach.
</font></em><br>
<font color=cyan>Paramveer Dhillon</font>, Sinan Aral.<br>
<FONT COLOR="#C70039">Marketing Science</FONT>, 2021.
<BR>
<a href="papers/dhillon-aral-dynamic-interests-mksc.pdf">[PDF]</a>
</li>
<p>
<li>
<em>
<font color=orange>
Interdependence and the Cost of Uncoordinated Responses to COVID-19.
</font></em><br>
David Holtz, Michael Zhao, Seth Benzell, Cathy Cao, Amin Rahimian, Jeremy Yang, Jennifer Allen, Avinash Collis, Alex Moehring, Tara Sowrirajan, Dipayan Ghosh, Yunhao Zhang, <font color=cyan>Paramveer Dhillon</font>, Christos Nicolaides, Dean Eckles, and Sinan Aral.<br>
<FONT COLOR="#C70039"> PNAS</FONT>, 2020.
<BR>
<a href="papers/pnas_spillovers_full.pdf">[PDF]</a>
<a href="papers/pnas_spillovers_SI.pdf">[Supplementary Information]</a>
</li>
<u><i>Press Coverage:</i></u>
<a href=https://news.umich.edu/research-shows-costly-failure-to-coordinate-covid-19-response/>[Michigan News]</a>
<a href=https://www.onedetroitpbs.org/8-27-20-one-detroit-nursing-homes-republican-national-convention-pandemic-coordinated-response-high-cost-of-high-water/>[OneDetroit PBS Interview (Starts at 14:40)]</a>
<a href=https://www.latimes.com/opinion/story/2020-08-09/coronavirus-spread-patterns-social-influence>[Los Angeles Times]</a>
<a href=https://www.washingtonpost.com/health/coronavirus-threat-rises-across-us-we-just-have-to-assume-the-monster-is-everywhere/2020/08/01/cdb505e0-d1d8-11ea-8c55-61e7fa5e82ab_story.html>[The Washington Post]</a>
<a href=https://www.msnbc.com/all-in/watch/mit-study-chaotic-and-uncoordinated-reopening-of-states-takes-devastating-toll-83765317932>[MSNBC]</a>
<a href=https://www.bostonglobe.com/2020/05/21/nation/lack-coordination-reopenings-could-lead-more-virus-spread-spillover-between-states/>[The Boston Globe]</a>
<a href=https://money.yahoo.com/mit-study-shows-devastating-cost-160519432.html?guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS91cmw_cT1odHRwcyUzQSUyRiUyRm1vbmV5LnlhaG9vLmNvbSUyRm1pdC1zdHVkeS1zaG93cy1kZXZhc3RhdGluZy1jb3N0LTE2MDUxOTQzMi5odG1sJnNhPUQmc250ej0xJnVzZz1BRlFqQ05Fd1RLRmRDelo4R25RSHAtM1BSYnhwN21veGFB&guce_referrer_sig=AQAAAMWb63FRbEBBxB1rPMiCaw_4q-BN4bhOLi28fUzfPQLKUbcknNwd8YfEjKP9B6F6PEqRO3BxtoqbbVDpXWRt4gbFeGMoV-rnXbu9OgEQZZM6ang3BXvC5tw0eMuvYappzm1ZPnnCkJgtkC5fe86HQIMyb9wvAd2vWsg6n4JIWSlN&guccounter=2>[Yahoo Finance]</a>
<a href=https://thehill.com/opinion/white-house/499727-the-deadly-cost-of-uncoordinated-reopening-of-our-states>[The Hill]</a>
<a href=https://www.techrepublic.com/article/study-there-will-be-a-devastating-cost-of-failure-if-economic-re-openings-are-not-coordinated/>[TechRepublic]</a>
<a href=https://www.wgbh.org/news/national-news/2020/05/21/new-mit-study-shows-the-cost-of-the-patchwork-response-to-coronavirus-in-the-u-s>[WGBH]</a>
<p>
<li>
<em>
<font color=orange>
Digital Paywall Design: Implications for Content Demand & Subscriptions.<sup>*</sup>
</font></em><br>
Sinan Aral, <font color=cyan>Paramveer Dhillon.</font><br>
<FONT COLOR="#C70039">Management Science</FONT>, 2020.
<BR>
<a href="papers/dhillon20Paywall.pdf">[PDF]</a>
</li>
<u><i>Press Coverage:</i></u>
<a href=https://news.umich.edu/online-news-needs-a-new-pay-model-u-m-study-shows/>[Michigan News]</a>
<p>
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<p>
<li>
<em>
<font color=orange>
Social Influence Maximization under Empirical Influence Models.<sup>*</sup>
</font></em><br>
Sinan Aral, <font color=cyan>Paramveer Dhillon.</font><br>
<FONT COLOR="#C70039">Nature Human Behaviour</FONT>, May 2018.
<BR>
<a href="https://www.nature.com/articles/s41562-018-0346-z.epdf?author_access_token=N3H-02ldeE4Au_GNS-_Sl9RgN0jAjWel9jnR3ZoTv0PVP3dTdNThCuDLo3WU2Y7zDTMMUjiXDkdH1FtGlpFLC9mswZaf5ycdN2RqIvrlWelLux3HrjtdxwCVD7Cjkt_1NCfXSrl3l-i5NieYjFWGqg%3D%3D">[PDF]</a>
<a href="https://static-content.springer.com/esm/art%3A10.1038%2Fs41562-018-0346-z/MediaObjects/41562_2018_346_MOESM1_ESM.pdf">[Supplementary Information]</a>
</li>
<p>
<li>
<em>
<font color=orange>
Eigenwords: Spectral Word Embeddings.
</font></em><br>
<font color=cyan>Paramveer Dhillon</font>, Dean Foster, and Lyle Ungar.<br>
<FONT COLOR="#C70039">JMLR</FONT>, December 2015.
<BR>
<a href="papers/dhillon15a.pdf">[PDF]</a> <a href="#software">[Code + Pre-trained Embeddings]</a>
</li>
<p>
<li>
<em>
<font color=orange>
Subject-Specific Functional Parcellation via Prior Based Eigenanatomy.
</font></em><br>
<font color=cyan>Paramveer Dhillon</font>, David Wolk, Sandhitsu Das, Lyle Ungar, James Gee, and Brian Avants.<br>
<FONT COLOR="#C70039">NeuroImage</FONT>, October 2014.
<BR>
<a href="papers/dhillon14NeuroImage.pdf">[PDF]</a> <a href="#software">[Code]</a>
</li>
<p>
<li>
<em>
<font color=orange>
New Subsampling Algorithms for Fast Least Squares Regression.
</font></em><br>
<font color=cyan>Paramveer Dhillon</FONT>, Yichao Lu, Dean Foster, and Lyle Ungar.<br>
<FONT COLOR="#C70039">NeurIPS</FONT> 2013.
<BR>
<a href="papers/uluruNIPS2013.pdf">[PDF]</a>
<a href="papers/uluru_appendix.pdf">[Supplementary Information]</a>
</li>
<p>
<li>
<em>
<font color=orange>
Faster Ridge Regression via the Subsampled Randomized Hadamard Transform.
</font></em><br>
Yichao Lu, <font color=cyan>Paramveer Dhillon</FONT>, Dean Foster, and Lyle Ungar.<br>
<FONT COLOR="#C70039">NeurIPS</FONT> 2013.
<BR>
<a href="papers/ridgeNIPS2013.pdf">[PDF]</a>
<a href="papers/ridge2013appendix.pdf">[Supplementary Information]</a>
</li>
<p>
<li>
<em>
<font color=orange>
A Risk Comparison of Ordinary Least Squares vs Ridge Regression.
</font></em><br>
<font color=cyan>Paramveer Dhillon</FONT>, Dean Foster, Sham Kakade, and Lyle Ungar.<br>
<FONT COLOR="#C70039">JMLR</FONT>, May 2013.
<BR>
<a href="papers/dhillon13a.pdf">[PDF]</a>
</li>
<p>
<li>
<em>
<font color=orange>
Two Step CCA: A new spectral method for estimating vector models of words.
</font></em><br>
<font color=cyan>Paramveer Dhillon</FONT>, Jordan Rodu, Dean Foster, and Lyle Ungar.<br>
<FONT COLOR="#C70039">ICML</FONT> 2012.
<BR>
<a href="papers/dhillon_icml12_cca.pdf">[PDF]</a> <a href="papers/supplemental_icml12.pdf">[Supplementary Information]</a> <a href="#software">[Code + Pre-trained Embeddings]</a> <font color=red>[Note: This paper was superseded by our JMLR 2015 paper.]</font>
</li>
<p>
<li>
<em>
<font color=orange>
Spectral Dependency Parsing with Latent Variables.
</font></em><br>
<font color=cyan>Paramveer Dhillon</FONT>, Jordan Rodu, Michael Collins, Dean Foster, and Lyle Ungar.<br>
<FONT COLOR="#C70039">EMNLP</FONT> 2012.
<BR>
<a href="papers/spectral-dep-parsing.pdf">[PDF]</a>
</li>
<p>
<li>
<em>
<font color=orange>
Partial Sparse Canonical Correlation Analysis (PSCCA) for population studies in Medical Imaging.
</font></em><br>
<font color=cyan>Paramveer Dhillon</FONT>, Brian Avants, Lyle Ungar, and James Gee.<br>
<FONT COLOR="#C70039">ISBI</FONT> 2012.
<BR>
<a href="papers/isbi_cca.pdf">[PDF]</a>
</li>
<p>
<li>
<em>
<font color=orange>
Eigenanatomy improves detection power for longitudinal cortical change.
</font></em><br>
Brian Avants, <font color=cyan>Paramveer Dhillon</FONT>, Benjamin Kandel, Philip Cook, Corey McMillan, Murray Grossman, and James Gee.<br>
<FONT COLOR="#C70039">MICCAI</FONT> 2012.
<BR>
<a href="papers/miccai_eigenanatomy.pdf">[PDF]</a>
</li>
<p>
<li>
<em>
<font color=orange>
Deterministic Annealing for Semi-Supervised Structured Output Learning.
</font></em><br>
<font color=cyan>Paramveer Dhillon</FONT>, Sathiya Keerthi, Olivier Chapelle, Kedar Bellare, and S. Sundararajan.<br>
<FONT COLOR="#C70039">AISTATS</FONT> 2012.
<BR>
<a href="papers/aistats_daso.pdf">[PDF]</a>
</li>
<p>
<li>
<em>
<font color=orange>
Metric Learning for Graph-based Domain Adaptation.
</font></em><br>
<font color=cyan>Paramveer Dhillon</FONT>, Partha Talukdar, and Koby Crammer.<br>
<FONT COLOR="#C70039">COLING</FONT> 2012.
<BR>
<a href="papers/graph_da_coling_2012.pdf">[PDF]</a>
</li>
<p>
<li>
<em>
<font color=orange>
Multi-View Learning of Word Embeddings via CCA.
</font></em><br>
<font color=cyan>Paramveer Dhillon</FONT>, Dean Foster, and Lyle Ungar.<br>
<FONT COLOR="#C70039">NeurIPS</FONT> 2011.
<BR>
<a href="papers/nips11dhillon.pdf">[PDF]</a> <a href="papers/nips11dhillon_supp.pdf">[Supplementary Information]</a> <a href="#software">[Code + Pre-trained Embeddings]</a> <font color=red>[Note: This paper was superseded by our JMLR 2015 paper.]</font>
</li>
<p>
<li>
<em>
<font color=orange>
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning.
</font></em><br>
<font color=cyan>Paramveer Dhillon</FONT>, Dean Foster, and Lyle Ungar.<br>
<FONT COLOR="#C70039">JMLR</FONT>, February 2011.
<BR>
<a href="papers/dhillon11a.pdf">[PDF]</a>
</li>
<p>
<li>
<em>
<font color=orange>
Semi-supervised Multi-task Learning of Structured Prediction Models for Web Information Extraction.
</font></em><br>
<font color=cyan>Paramveer Dhillon</FONT>, S. Sundararajan, and S. Sathiya Keerthi.<br>
<FONT COLOR="#C70039">CIKM</FONT> 2011.
<BR>
<a href="papers/cikm116-dhillon.pdf">[PDF]</a>
</li>