Theses

Probabilistic Models for Scalable Knowledge Graph Construction. Jay Pujara. PhD Thesis from University of Maryland, College Park. Published 2016. Commitee: Lise Getoor, Hector Corrada Bravo, William Cohen, Hal Daume III, Philip Resnik. (pdf, bibtex)

Understanding Feature Selection in Functional Magnetic Resonance Imaging. Jay Pujara. MS Thesis from Carnegie Mellon University. Published 2005. Committee: Tom Mitchell, Geoff Gordon. (pdf)

Journals and Magazines

Collective Entity Resolution in Multi-Relational Familial Networks. Pigi Kouki, Jay Pujara, Christopher Marcum, Laura Koehly, Lise Getoor. Knowledge and Information Systems (2018).

Using Semantics & Statistics to Turn Data into Knowledge. Jay Pujara, Hui Miao, Lise Getoor, William W. Cohen. AI Magazine 36.1 (2015). (pdf, bibtex)

Refereed Conferences

Scalable Probabilistic Causal Structure Discovery. Dhanya Sridhar, Jay Pujara, Lise Getoor. 2018 International Joint Conference on Artificial Intelligence (IJCAI). (pdf, bibtex, code)

Clustering System Data using Aggregate Measures. Johnnie Chang, Hung-Ju Chen, Jay Pujara, Lise Getoor. 2018 Conference on Systems and Machine Learning (SysML). (pdf, bibtex)

Sparsity and Noise: Where Knowledge Graph Embeddings Fall Short. Jay Pujara, Eriq Augustine, Lise Getoor. 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP). (pdf, bibtex, code)

Collective Entity Resolution in Familial Networks. Pigi Kouki, Jay Pujara, Christopher Marcum, Laura Koehly, Lise Getoor. 2017 International Conference on Data Mining (ICDM). (pdf, bibtex, code)

User Preferences for Hybrid Explanations. Pigi Kouki, James Schaffer, Jay Pujara, James O'Donovan, Lise Getoor. 2017 Conference on Recommender Systems (RecSys). (pdf, bibtex)

Disambiguating Energy Disaggregation: A Collective Probabilistic Approach. Sabina Tomkins, Jay Pujara, Lise Getoor. 2017 International Joint Conference on Artificial Intelligence (IJCAI). (pdf, bibtex, code)

Probabilistic Visitor Stitching on Cross-Device Web Logs. Sungchul Kim, Nikhil Kini, Jay Pujara, Eunyee Koh, Lise Getoor. 2017 World Wide Web Conference (WWW). (pdf, bibtex)

Unsupervised Models for Predicting Strategic Relations between Organizations. Shachi Kumar, Jay Pujara, Lise Getoor, David Mares, Dipak Gupta, Ellen Riloff. 2016 International Conference on Advances in Social Network Analysis and Mining (ASONAM). (pdf, bibtex)

Budgeted Online Collective Inference. Jay Pujara, Ben London, and Lise Getoor. 2015 Conference on Uncertainty in Artificial Intelligence (UAI). (pdf, bibtex, code)

RELLY: Inferring Hypernym Relationships Between Relational Phrases. Adam Grycner, Gerhard Weikum, Jay Pujara, James Foulds, and Lise Getoor. 2015 Conference on Empirical Methods in Natural Language Processing. (pdf, bibtex)

Knowledge Graph Identification. Jay Pujara, Hui Miao, Lise Getoor, William Cohen. 2013 International Semantic Web Conference (ISWC). [winner of Best Student Paper award] (pdf, bibtex, code, video, slides)

Using Classifier Cascades for Scalable E-Mail Classification. Jay Pujara, Hal Daume III, and Lise Getoor. Collaboration, Electronic Messaging, Anti-Abuse and Spam Conference (CEAS) 2011. [winner of Best Paper award] (pdf, bibtex, slides)

Refereed Workshops and Symposia

Hybrid Link Prediction for Competitor Relationships. Jay Pujara. 2018 SIGMOD Workshop on Data Science for Macro-modeling with Financial and Economic Datasets. (pdf, bibtex)

Feature Selection Methods for Understanding Business Competitor Relationships. Rahul Gupta, Jay Pujara, Craig Knoblock, Shushyam Sharanappa, Bharat Pulvarti, Gerard Hoberg, Gordon Phillips. 2018 SIGMOD Workshop on Data Science for Macro-modeling with Financial and Economic Datasets. (pdf, bibtex)

Aligning Product Categories using Anchor Products. Varun Embar, Golnoosh Farnadi, Jay Pujara, Lise Getoor. 2018 WSDM Workshop on Knowledge Base Construction, Reasoning and Mining (KBCOM). (pdf, bibtex)

Using Noisy Extractions to Discover Causal Knowledge. Dhanya Sridhar, Jay Pujara, Lise Getoor. 2017 NIPS Workshop on Automated Knowledge Base Construction (AKBC). (pdf, bibtex)

A Scalable Probabilistic Approach for Causal Structure Discovery. Dhanya Sridhar, Jay Pujara, Lise Getoor. 2017 Women in Machine Learning Workshop (WiML).

Extracting Knowledge Graphs from Financial Filings. Jay Pujara. SIGMOD Third International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets (DSMM). (pdf, bibtex)

Generic Statistical Relational Entity Resolution in Knowledge Graphs. Jay Pujara and Lise Getoor. IJCAI 2016 Workshop on Statistical Relational AI (StaRAI). (pdf, bibtex)

Adaptive Neighborhood Graph Construction for Inference in Multi-Relational Networks . Shobeir Fakhraei, Dhanya Sridhar, Jay Pujara, and Lise Getoor. KDD 2016 Workshop on Mining and Learning with Graphs (MLG). (pdf, bibtex)

Online Inference for Knowledge Graph Construction. Jay Pujara, Ben London, Lise Getoor, and William W. Cohen. UAI 2015 Workshop on Statistical Relational AI (StaRAI). (pdf, bibtex,)

Building Dynamic Knowledge Graphs. Jay Pujara and Lise Getoor. NIPS 2014 Workshop on Automated Knowledge Base Construction (AKBC). (pdf, bibtex)

A Unified Probabilistic Approach for Semantic Clustering of Relational Phrases. Adam Grycner, Gerhard Weikum, Jay Pujara, James Foulds, Lise Getoor. NIPS 2014 Workshop on Automated Knowledge Base Construction (AKBC). (pdf, bibtex,)

Probabilistic Models for Collective Entity Resolution Between Knowledge Graphs. Jay Pujara, Kevin Murphy, Xin Luna Dong, Curtis Janssen. Bay Area Machine Learning Symposium (BayLearn). (pdf, bibtex)

Large-Scale Knowledge Graph Identification using PSL (extended abstract). Jay Pujara, Hui Miao, Lise Getoor, William Cohen. AAAI Fall 2013 Symposium on Semantics for Big Data. (pdf, bibtex)

Ontology-Aware Partitioning for Knowledge Graph Identification. Jay Pujara, Hui Miao, Lise Getoor, William Cohen. 2013 CIKM Workshop on Automated Knowledge Base Construction (AKBC). [selected for spotlight talk] (pdf, bibtex, slides)

Joint Judgments with a Budget: Strategies for Reducing the Cost of Inference. Jay Pujara, Hui Miao, Lise Getoor. 2013 ICML Workshop on Machine Learning with Test-Time Budgets. (pdf, bibtex)

Large-Scale Knowledge Graph Identification using PSL. Jay Pujara, Hui Miao, Lise Getoor, William Cohen. 2013 ICML Workshop on Structured Learning (SLG). (pdf, bibtex)

Large-Scale Hierarchical Topic Models. Jay Pujara, Peter Skomoroch. NIPS 2012 workshop on Big Learning. (pdf, bibtex)

Social Group Modeling with Probabilistic Soft Logic. Bert Huang, Stephen H. Bach, Eric Norris, Jay Pujara, Lise Getoor. NIPS 2012 workshop on Social Network and Social Media Analysis. (pdf, bibtex)

Reducing Label Cost by Combining Feature Labels and Crowdsourcing. Jay Pujara, Ben London, and Lise Getoor. ICML 2011 workshop on Combining Learning Strategies to Reduce Label Cost. [selected for contributed talk] (pdf, bibtex, slides)

Facilitating Medication Reconciliation with Animation and Spatial layout. Leo Claudino, Sameh Khamis, Ran Liu, Ben London, Jay Pujara, Catherine Plaisant, Ben Shneiderman. Workshop on Interactive Systems in Healthcare.

Coarse-to-Fine, Cost-Sensitive Classification of E-Mail. Jay Pujara and Lise Getoor. NIPS 2010 Workshop on Coarse-to-Fine Processing. [selected for spotlight talk] (pdf, bibtex, slides)

Patents

User Trustworthiness. Jay Pujara, Vishwanath Ramarao, Xiaopeng Xi, Martin Zinkevich, Anirban Dasgupta, Belle Tseng, Wei Chu, Gareth Shue, Patent 9,519,682; awarded 2016.

Real-time Ad-Hoc Spam Filtering of E-Mail. Jay Pujara, Patent 8,069,128; awarded 2011.

Employing pixel density to detect a spam image. Ke Wei, Hao Zheng, Jay Pujara, Patent 7,882,177; awarded 2011.

Identifying IP addresses for spammers. Jaesik Choi, Jay Pujara, Vishwanath Ramarao, Ke Wei, Patent 7,849,146; awarded 2010.