| 2025 | NeSy | Neural-Symbolic Architectural Axioms of Integration: A Manifesto. | Connor Pryor, Lise Getoor |
| 2024 | ICML | Convex and Bilevel Optimization for Neural-Symbolic Inference and Learning. | Charles Andrew Dickens, Changyu Gao, Connor Pryor, Stephen J. Wright, Lise Getoor |
| 2023 | ACL | Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic. | Connor Pryor, Quan Yuan, Jeremiah Z. Liu, Mehran Kazemi, Deepak Ramachandran, Tania Bedrax-Weiss, Lise Getoor |
| 2023 | ACL | CausalDialogue: Modeling Utterance-level Causality in Conversations. | Yi-Lin Tuan, Alon Albalak, Wenda Xu, Michael Saxon, Connor Pryor, Lise Getoor, William Yang Wang |
| 2023 | ICML | ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation. | Kaiwen Zhou, Kaizhi Zheng, Connor Pryor, Yilin Shen, Hongxia Jin, Lise Getoor, Xin Eric Wang |
| 2023 | IJCAI | NeuPSL: Neural Probabilistic Soft Logic. | Connor Pryor, Charles Dickens, Eriq Augustine, Alon Albalak, William Yang Wang, Lise Getoor |
| 2022 | EMNLP | FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue. | Alon Albalak, Yi-Lin Tuan, Pegah Jandaghi, Connor Pryor, Luke Yoffe, Deepak Ramachandran, Lise Getoor, Jay Pujara, William Yang Wang |
| 2022 | KDD | The Power of (Statistical) Relational Thinking. | Lise Getoor |
| 2022 | NeSy | Visual Sudoku Puzzle Classification: A Suite of Collective Neuro-Symbolic Tasks. | Eriq Augustine, Connor Pryor, Charles Dickens, Jay Pujara, William Yang Wang, Lise Getoor |
| 2022 | UAI | Learning explainable templated graphical models. | Varun Embar, Sriram Srinivasan, Lise Getoor |
| 2021 | ICML | Context-Aware Online Collective Inference for Templated Graphical Models. | Charles Dickens, Connor Pryor, Eriq Augustine, Alexander Miller, Lise Getoor |
| 2020 | AAAI | Tandem Inference: An Out-of-Core Streaming Algorithm for Very Large-Scale Relational Inference. | Sriram Srinivasan, Eriq Augustine, Lise Getoor |
| 2020 | AAAI | BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic. | Sriram Srinivasan, Golnoosh Farnadi, Lise Getoor |
| 2020 | CIKM | Joint Estimation of User And Publisher Credibility for Fake News Detection. | Rajdipa Chowdhury, Sriram Srinivasan, Lise Getoor |
| 2020 | RecSys | VMI-PSL: Visual Model Inspector for Probabilistic Soft Logic. | Aaron Rodden, Tarun Salh, Eriq Augustine, Lise Getoor |
| 2020 | SIGMOD | Causal Relational Learning. | Babak Salimi, Harsh Parikh, Moe Kayali, Lise Getoor, Sudeepa Roy, Dan Suciu |
| 2019 | AAAI | Lifted Hinge-Loss Markov Random Fields. | Sriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi, Lise Getoor |
| 2019 | CIKM | Identifying Facet Mismatches In Search Via Micrographs. | Sriram Srinivasan, Nikhil S. Rao, Karthik Subbian, Lise Getoor |
| 2019 | ICDT | The Power of Relational Learning (Invited Talk). | Lise Getoor |
| 2019 | IJCAI | Estimating Causal Effects of Tone in Online Debates. | Dhanya Sridhar, Lise Getoor |
| 2019 | IUI | Personalized explanations for hybrid recommender systems. | Pigi Kouki, James Schaffer, Jay Pujara, John O'Donovan, Lise Getoor |
| 2019 | WWW | Responsible Data Science. | Lise Getoor |
| 2019 | SIGMOD | Responsible Data Science. | Lise Getoor |
| 2019 | SIGMOD | The Responsibility Challenge for Data. | H. V. Jagadish, Francesco Bonchi, Tina Eliassi-Rad, Lise Getoor, Krishna P. Gummadi, Julia Stoyanovich |
| 2018 | AAAI | Fairness-Aware Relational Learning and Inference. | Golnoosh Farnadi, Behrouz Babaki, Lise Getoor |
| 2018 | AIES | Fairness in Relational Domains. | Golnoosh Farnadi, Behrouz Babaki, Lise Getoor |
| 2018 | ICDM | The Impact of Environmental Stressors on Human Trafficking. | Sabina Tomkins, Golnoosh Farnadi, Brian Amanatullah, Lise Getoor, Steven Minton |
| 2018 | IJCAI | Scalable Probabilistic Causal Structure Discovery. | Dhanya Sridhar, Jay Pujara, Lise Getoor |
| 2018 | RecSys | Scalable structured prediction for richly structured socio-behavioral data. | Lise Getoor |
| 2018 | RecSys | Sustainability at scale: towards bridging the intention-behavior gap with sustainable recommendations. | Sabina Tomkins, Steven Isley, Ben London, Lise Getoor |
| 2018 | WWW | A Structured Approach to Understanding Recovery and Relapse in AA. | Yue Zhang, Arti Ramesh, Jennifer Golbeck, Dhanya Sridhar, Lise Getoor |
| 2018 | WISE | Topic Evolution Models for Long-Running MOOCs. | Arti Ramesh, Lise Getoor |
| 2017 | EMNLP | Sparsity and Noise: Where Knowledge Graph Embeddings Fall Short. | Jay Pujara, Eriq Augustine, Lise Getoor |
| 2017 | ICDE | A Collective, Probabilistic Approach to Schema Mapping. | Angelika Kimmig, Alex Memory, Rene J. Miller, Lise Getoor |
| 2017 | ICDM | Collective Entity Resolution in Familial Networks. | Pigi Kouki, Jay Pujara, Christopher Marcum, Laura M. Koehly, Lise Getoor |
| 2017 | IJCAI | Disambiguating Energy Disaggregation: A Collective Probabilistic Approach. | Sabina Tomkins, Jay Pujara, Lise Getoor |
| 2017 | PODS | Statistical Relational Learning: Unifying AI & DB Perspectives on Structured Probabilistic Models. | Lise Getoor |
| 2017 | RecSys | User Preferences for Hybrid Explanations. | Pigi Kouki, James Schaffer, Jay Pujara, John O'Donovan, Lise Getoor |
| 2017 | WWW | Probabilistic Visitor Stitching on Cross-Device Web Logs. | Sungchul Kim, Nikhil Kini, Jay Pujara, Eunyee Koh, Lise Getoor |
| 2016 | EDM | Predicting Post-Test Performance from Student Behavior: A High School MOOC Case Study. | Sabina Tomkins, Arti Ramesh, Lise Getoor |
| 2016 | SIGMOD | SourceSight: Enabling Effective Source Selection. | Theodoros Rekatsinas, Amol Deshpande, Xin Luna Dong, Lise Getoor, Divesh Srivastava |
| 2015 | AAAI | Planned Protest Modeling in News and Social Media. | Sathappan Muthiah, Bert Huang, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan |
| 2015 | ACL | Weakly Supervised Models of Aspect-Sentiment for Online Course Discussion Forums. | Arti Ramesh, Shachi H. Kumar, James R. Foulds, Lise Getoor |
| 2015 | ACL | Joint Models of Disagreement and Stance in Online Debate. | Dhanya Sridhar, James R. Foulds, Bert Huang, Lise Getoor, Marilyn A. Walker |
| 2015 | AISTATS | Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees. | Stephen H. Bach, Bert Huang, Lise Getoor |
| 2015 | CIDR | Finding Quality in Quantity: The Challenge of Discovering Valuable Sources for Integration. | Theodoros Rekatsinas, Xin Luna Dong, Lise Getoor, Divesh Srivastava |
| 2015 | EMNLP | RELLY: Inferring Hypernym Relationships Between Relational Phrases. | Adam Grycner, Gerhard Weikum, Jay Pujara, James R. Foulds, Lise Getoor |
| 2015 | ICML | Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs. | Stephen H. Bach, Bert Huang, Jordan L. Boyd-Graber, Lise Getoor |
| 2015 | ICML | Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models. | James R. Foulds, Shachi H. Kumar, Lise Getoor |
| 2015 | ICML | HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades. | Xinran He, Theodoros Rekatsinas, James R. Foulds, Lise Getoor, Yan Liu |
| 2015 | ICML | The Benefits of Learning with Strongly Convex Approximate Inference. | Ben London, Bert Huang, Lise Getoor |
| 2015 | ILP | Statistical Relational Learning with Soft Quantifiers. | Golnoosh Farnadi, Stephen H. Bach, Marjon Blondeel, Marie-Francine Moens, Lise Getoor, Martine De Cock |
| 2015 | KDD | Collective Spammer Detection in Evolving Multi-Relational Social Networks. | Shobeir Fakhraei, James R. Foulds, Madhusudana V. S. Shashanka, Lise Getoor |
| 2015 | RecSys | HyPER: A Flexible and Extensible Probabilistic Framework for Hybrid Recommender Systems. | Pigi Kouki, Shobeir Fakhraei, James R. Foulds, Magdalini Eirinaki, Lise Getoor |
| 2015 | UAI | Budgeted Online Collective Inference. | Jay Pujara, Ben London, Lise Getoor |
| 2015 | SENSYS | Poster Abstract: Contextual Air Conditioning Disaggregation with Probabilistic Soft Logic. | Sabina Tomkins, Lise Getoor |
| 2015 | SDM | SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources. | Theodoros Rekatsinas, Saurav Ghosh, Sumiko R. Mekaru, Elaine O. Nsoesie, John S. Brownstein, Lise Getoor, Naren Ramakrishnan |
| 2014 | AAAI | Extending PSL with Fuzzy Quantifiers. | Golnoosh Farnadi, Stephen H. Bach, Marie-Francine Moens, Lise Getoor, Martine De Cock |
| 2014 | AAAI | Learning Latent Engagement Patterns of Students in Online Courses. | Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daum III, Lise Getoor |
| 2014 | AISTATS | PAC-Bayesian Collective Stability. | Ben London, Bert Huang, Ben Taskar, Lise Getoor |
| 2014 | ICDE | Subgraph pattern matching over uncertain graphs with identity linkage uncertainty. | Walaa Eldin Moustafa, Angelika Kimmig, Amol Deshpande, Lise Getoor |
| 2014 | KDD | 'Beating the news' with EMBERS: forecasting civil unrest using open source indicators. | Naren Ramakrishnan, Patrick Butler, Sathappan Muthiah, Nathan Self, Rupinder Paul Khandpur, Parang Saraf, Wei Wang, Jose Cadena, Anil Vullikanti, Gizem Korkmaz, Chris J. Kuhlman, Achla Marathe, Liang Zhao, Ting Hua, Feng Chen, Chang-Tien Lu, Bert Huang, Aravind Srinivasan, Khoa Trinh, Lise Getoor, Graham Katz, Andy Doyle, Chris Ackermann, Ilya Zavorin, Jim Ford, Kristen Maria Summers, Youssef Fayed, Jaime Arredondo, Dipak Gupta, David Mares |
| 2013 | CIKM | Ontology-aware partitioning for knowledge graph identification. | Jay Pujara, Hui Miao, Lise Getoor, William W. Cohen |
| 2013 | CVPR | Collective Activity Detection Using Hinge-loss Markov Random Fields. | Ben London, Sameh Khamis, Stephen H. Bach, Bert Huang, Lise Getoor, Larry S. Davis |
| 2013 | ICML | Collective Stability in Structured Prediction: Generalization from One Example. | Ben London, Bert Huang, Ben Taskar, Lise Getoor |
| 2013 | KDD | Drug-target interaction prediction for drug repurposing with probabilistic similarity logic. | Shobeir Fakhraei, Louiqa Raschid, Lise Getoor |
| 2013 | KDD | Entity resolution for big data. | Lise Getoor, Ashwin Machanavajjhala |
| 2013 | KDD | Network sampling. | Lise Getoor, Ashwin Machanavajjhala |
| 2013 | KDD | Scalable text and link analysis with mixed-topic link models. | Yaojia Zhu, Xiaoran Yan, Lise Getoor, Cristopher Moore |
| 2013 | SIGMOD | GRDB: a system for declarative and interactive analysis of noisy information networks. | Walaa Eldin Moustafa, Hui Miao, Amol Deshpande, Lise Getoor |
| 2013 | UAI | Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction. | Stephen H. Bach, Bert Huang, Ben London, Lise Getoor |
| 2012 | ICDE | Ego-centric Graph Pattern Census. | Walaa Eldin Moustafa, Amol Deshpande, Lise Getoor |
| 2012 | SIGMOD | Local structure and determinism in probabilistic databases. | Theodoros Rekatsinas, Amol Deshpande, Lise Getoor |
| 2011 | ICDE | Declarative analysis of noisy information networks. | Walaa Eldin Moustafa, Galileo Namata, Amol Deshpande, Lise Getoor |
| 2011 | ICMLA | Improving Classifier Performance by Autonomously Collecting Background Knowledge from the Web. | Steven Minton, Matthew Michelson, Kane See, Sofus A. Macskassy, Bora Gazen, Lise Getoor |
| 2011 | IJCAI | Active Surveying: A Probabilistic Approach for Identifying Key Opinion Leaders. | Hossam Sharara, Lise Getoor, Myra Norton |
| 2011 | ICWSM | Differential Adaptive Diffusion: Understanding Diversity and Learning whom to Trust in Viral Marketing. | Hossam Sharara, William Rand, Lise Getoor |
| 2011 | KDD | Collective graph identification. | Galileo Namata, Stanley Kok, Lise Getoor |
| 2011 | SIGMOD | Learning statistical models from relational data. | Lise Getoor, Lilyana Mihalkova |
| 2011 | WSDM | Exploiting statistical and relational information on the web and in social media. | Lise Getoor, Lilyana Mihalkova |
| 2011 | WSDM | Materializing multi-relational databases from the web using taxonomic queries. | Matthew Michelson, Sofus A. Macskassy, Steven Minton, Lise Getoor |
| 2011 | WSDM | A probabilistic approach for learning folksonomies from structured data. | Anon Plangprasopchok, Kristina Lerman, Lise Getoor |
| 2010 | AAAI | Active Inference for Collective Classification. | Mustafa Bilgic, Lise Getoor |
| 2010 | AAAI | Constructing Folksonomies by Integrating Structured Metadata with Relational Clustering. | Anon Plangprasopchok, Kristina Lerman, Lise Getoor |
| 2010 | AAAI | Integrating Structured Metadata with Relational Affinity Propagation. | Anon Plangprasopchok, Kristina Lerman, Lise Getoor |
| 2010 | ICML | Active Learning for Networked Data. | Mustafa Bilgic, Lilyana Mihalkova, Lise Getoor |
| 2010 | IDA | Graph Identification. | Lise Getoor |
| 2010 | KDD | Growing a tree in the forest: constructing folksonomies by integrating structured metadata. | Anon Plangprasopchok, Kristina Lerman, Lise Getoor |
| 2010 | WWW | Constructing folksonomies by integrating structured metadata. | Anon Plangprasopchok, Kristina Lerman, Lise Getoor |
| 2010 | UAI | Probabilistic Similarity Logic. | Matthias Brcheler, Lilyana Mihalkova, Lise Getoor |
| 2009 | EMNLP | Supervised and Unsupervised Methods in Employing Discourse Relations for Improving Opinion Polarity Classification. | Swapna Somasundaran, Galileo Namata, Janyce Wiebe, Lise Getoor |
| 2009 | ICWSM | Distinguishing Knowledge vs Social Capital in Social Media with Roles and Context. | Vladimir Barash, Marc A. Smith, Lise Getoor, Howard T. Welser |
| 2009 | KDD | Identifying graphs from noisy and incomplete data. | Galileo Mark S. Namata Jr., Lise Getoor |
| 2009 | KDD | Co-evolution of social and affiliation networks. | Elena Zheleva, Hossam Sharara, Lise Getoor |
| 2009 | WWW | To join or not to join: the illusion of privacy in social networks with mixed public and private user profiles. | Elena Zheleva, Lise Getoor |
| 2009 | UAI | Bisimulation-based Approximate Lifted Inference. | Prithviraj Sen, Amol Deshpande, Lise Getoor |
| 2009 | SDM | On Maximum Coverage in the Streaming Model & Application to Multi-topic Blog-Watch. | Barna Saha, Lise Getoor |
| 2009 | SDM | FutureRank: Ranking Scientific Articles by Predicting their Future PageRank. | Hassan Sayyadi, Lise Getoor |
| 2008 | CIKM | Leveraging social context for searching social media. | Marc A. Smith, Vladimir Barash, Lise Getoor, Hady Wirawan Lauw |
| 2008 | KDD | Effective label acquisition for collective classification. | Mustafa Bilgic, Lise Getoor |
| 2008 | KDD | Using Friendship Ties and Family Circles for Link Prediction. | Elena Zheleva, Lise Getoor, Jennifer Golbeck, Ugur Kuter |
| 2007 | AAAI | Online Collective Entity Resolution. | Indrajit Bhattacharya, Lise Getoor |
| 2007 | AAAI | VOILA: Efficient Feature-value Acquisition for Classification. | Mustafa Bilgic, Lise Getoor |
| 2007 | AAAI | Relationship Identification for Social Network Discovery. | Christopher P. Diehl, Galileo Namata, Lise Getoor |
| 2007 | CIKM | A dual-view approach to interactive network visualization. | Galileo Namata, Brian Staats, Lise Getoor, Ben Shneiderman |
| 2007 | ICDM | Combining Collective Classification and Link Prediction. | Mustafa Bilgic, Galileo Namata, Lise Getoor |
| 2007 | ICDM | Characterizing RNA Secondary-Structure Features and Their Effects on Splice-Site Prediction. | Rezarta Islamaj Dogan, Lise Getoor, W. John Wilbur |
| 2007 | ICDM | Representing Tuple and Attribute Uncertainty in Probabilistic Databases. | Prithviraj Sen, Amol Deshpande, Lise Getoor |
| 2007 | IV | GeoDDupe: A Novel Interface for Interactive Entity Resolution in Geospatial Data. | Hyunmo Kang, Vivek Sehgal, Lise Getoor |
| 2007 | IV | Visual Mining of Multi-Modal Social Networks at Different Abstraction Levels. | Lisa Singh, Mitchell Beard, Lise Getoor, M. Brian Blake |
| 2007 | KDD | Preserving the Privacy of Sensitive Relationships in Graph Data. | Elena Zheleva, Lise Getoor |
| 2007 | SIGMOD | Leveraging data and structure in ontology integration. | Octavian Udrea, Lise Getoor, Rene J. Miller |
| 2006 | ICDM | Social Capital in Friendship-Event Networks. | Louis Licamele, Lise Getoor |
| 2006 | ICML | Inferring Organizational Titles in Online Communication. | Galileo Mark S. Namata Jr., Lise Getoor, Christopher P. Diehl |
| 2006 | ICML | Cost-sensitive learning with conditional Markov networks. | Prithviraj Sen, Lise Getoor |
| 2006 | KDD | Query-time entity resolution. | Indrajit Bhattacharya, Lise Getoor, Louis Licamele |
| 2006 | KDD | Is there a grand challenge or X-prize for data mining? | Gregory Piatetsky-Shapiro, Robert Grossman, Chabane Djeraba, Ronen Feldman, Lise Getoor, Mohammed Javeed Zaki |
| 2006 | SDM | A Latent Dirichlet Model for Unsupervised Entity Resolution. | Indrajit Bhattacharya, Lise Getoor |
| 2006 | SDM | Name Reference Resolution in Organizational Email Archives. | Christopher P. Diehl, Lise Getoor, Galileo Namata |
| 2005 | GD | D-Dupe: An Interactive Tool for Entity Resolution in Social Networks. | Mustafa Bilgic, Louis Licamele, Lise Getoor, Ben Shneiderman |
| 2005 | ICDM | Pruning Social Networks Using Structural Properties and Descriptive Attributes. | Lisa Singh, Lise Getoor, Louis Licamele |
| 2005 | ILP | Tutorial on Statistical Relational Learning. | Lise Getoor |
| 2005 | KDD | Capital and benefit in social networks. | Louis Licamele, Mustafa Bilgic, Lise Getoor, Nick Roussopoulos |
| 2004 | ACL | Unsupervised Sense Disambiguation Using Bilingual Probabilistic Models. | Indrajit Bhattacharya, Lise Getoor, Yoshua Bengio |
| 2004 | SIGMOD | Using the Structure of Web Sites for Automatic Segmentation of Tables. | Kristina Lerman, Lise Getoor, Steven Minton, Craig A. Knoblock |
| 2003 | ICDE | PXML: A Probabilistic Semistructured Data Model and Algebra. | Edward Hung, Lise Getoor, V. S. Subrahmanian |
| 2003 | ICDT | Probabilistic Interval XML. | Edward Hung, Lise Getoor, V. S. Subrahmanian |
| 2003 | ICML | Link-based Classification. | Qing Lu, Lise Getoor |
| 2001 | ICML | Learning Probabilistic Models of Relational Structure. | Lise Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar |
| 2001 | SIGMOD | Selectivity Estimation using Probabilistic Models. | Lise Getoor, Benjamin Taskar, Daphne Koller |
| 1999 | AISTATS | Efficient learning using constrained sufficient statistics. | Nir Friedman, Lise Getoor |
| 1999 | IJCAI | Learning Probabilistic Relational Models. | Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer |
| 1998 | UAI | Utility Elicitation as a Classification Problem. | Urszula Chajewska, Lise Getoor, Joseph Norman, Yuval Shahar |
| 1997 | AAAI | Effective Redundant Constraints for Online Scheduling. | Lise Getoor, Greger Ottosson, Markus P. J. Fromherz, Bjrn Carlson |
| 1995 | IJCAI | Scope and Abstraction: Two Criteria for Localized Planning. | Amy L. Lansky, Lise Getoor |