Lise Getoor

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 92

Top Venues

CoRR

ICML

AAAI

RecSys

Publications

Charles Dickens, Changyu Gao, Connor Pryor, Stephen J. Wright, Lise Getoor
Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning. CoRR (2024)
Charles Dickens, Connor Pryor, Lise Getoor
Modeling Patterns for Neural-Symbolic Reasoning Using Energy-based Models. AAAI Spring Symposia (2024)
Charles Dickens, Connor Pryor, Changyu Gao, Alon Albalak, Eriq Augustine, William Yang Wang, Stephen Wright, Lise Getoor
A Mathematical Framework, a Taxonomy of Modeling Paradigms, and a Suite of Learning Techniques for Neural-Symbolic Systems. CoRR (2024)
Connor Pryor, Quan Yuan, Jeremiah Z. Liu, Mehran Kazemi, Deepak Ramachandran, Tania Bedrax-Weiss, Lise Getoor
Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic. CoRR (2024)
Eriq Augustine, Lise Getoor
Collective Grounding: Applying Database Techniques to Grounding Templated Models. Proc. VLDB Endow. 16 (8) (2023)
Connor Pryor, Charles Dickens, Eriq Augustine, Alon Albalak, William Yang Wang, Lise Getoor
NeuPSL: Neural Probabilistic Soft Logic. IJCAI (2023)
Kaiwen Zhou, Kaizhi Zheng, Connor Pryor, Yilin Shen, Hongxia Jin, Lise Getoor, Xin Eric Wang
ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation. CoRR (2023)
Kaiwen Zhou, Kaizhi Zheng, Connor Pryor, Yilin Shen, Hongxia Jin, Lise Getoor, Xin Eric Wang
ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation. ICML (2023)
Charles Dickens, Alexander Miller, Lise Getoor
Online Collective Demand Forecasting for Bike Sharing Services. HICSS (2023)
Yi-Lin Tuan, Alon Albalak, Wenda Xu, Michael Saxon, Connor Pryor, Lise Getoor, William Yang Wang
CausalDialogue: Modeling Utterance-level Causality in Conversations. ACL (Findings) (2023)
Connor Pryor, Quan Yuan, Jeremiah Z. Liu, Mehran Kazemi, Deepak Ramachandran, Tania Bedrax-Weiss, Lise Getoor
Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic. ACL (1) (2023)
Alon Albalak, Yi-Lin Tuan, Pegah Jandaghi, Connor Pryor, Luke Yoffe, Deepak Ramachandran, Lise Getoor, Jay Pujara, William Yang Wang
FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue. CoRR (2022)
Eriq Augustine, Connor Pryor, Charles Dickens, Jay Pujara, William Yang Wang, Lise Getoor
Visual Sudoku Puzzle Classification: A Suite of Collective Neuro-Symbolic Tasks. NeSy (2022)
Sriram Srinivasan, Charles Dickens, Eriq Augustine, Golnoosh Farnadi, Lise Getoor
A taxonomy of weight learning methods for statistical relational learning. Mach. Learn. 111 (8) (2022)
Varun Embar, Sriram Srinivasan, Lise Getoor
Learning explainable templated graphical models. UAI (2022)
Hossam Sharara, Lise Getoor
Multi-relational Affinity Propagation. ASONAM (2022)
Alon Albalak, Yi-Lin Tuan, Pegah Jandaghi, Connor Pryor, Luke Yoffe, Deepak Ramachandran, Lise Getoor, Jay Pujara, William Yang Wang
FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue. EMNLP (2022)
Eriq Augustine, Pegah Jandaghi, Alon Albalak, Connor Pryor, Charles Dickens, William Yang Wang, Lise Getoor
Emotion Recognition in Conversation using Probabilistic Soft Logic. CoRR (2022)
Connor Pryor, Charles Dickens, Eriq Augustine, Alon Albalak, William Yang Wang, Lise Getoor
NeuPSL: Neural Probabilistic Soft Logic. CoRR (2022)
Lise Getoor
The Power of (Statistical) Relational Thinking. KDD (2022)
Yi-Lin Tuan, Alon Albalak, Wenda Xu, Michael Saxon, Connor Pryor, Lise Getoor, William Yang Wang
CausalDialogue: Modeling Utterance-level Causality in Conversations. CoRR (2022)
Alon Albalak, Varun Embar, Yi-Lin Tuan, Lise Getoor, William Yang Wang
D-REX: Dialogue Relation Extraction with Explanations. ConvAI@ACL (2022)
Yi-Lin Tuan, Connor Pryor, Wenhu Chen, Lise Getoor, William Yang Wang
Local Explanation of Dialogue Response Generation. NeurIPS (2021)
Charles Dickens, Connor Pryor, Eriq Augustine, Alexander Miller, Lise Getoor
Context-Aware Online Collective Inference for Templated Graphical Models. ICML (2021)
Yi-Lin Tuan, Connor Pryor, Wenhu Chen, Lise Getoor, William Yang Wang
Local Explanation of Dialogue Response Generation. CoRR (2021)
Varun Embar, Andrey Kan, Bunyamin Sisman, Christos Faloutsos, Lise Getoor
DiffXtract: Joint Discriminative Product Attribute-Value Extraction. ICBK (2021)
Alon Albalak, Varun Embar, Yi-Lin Tuan, Lise Getoor, William Yang Wang
D-REX: Dialogue Relation Extraction with Explanations. CoRR (2021)
Shawn Bailey, Yue Zhang, Arti Ramesh, Jennifer Golbeck, Lise Getoor
A Structured and Linguistic Approach to Understanding Recovery and Relapse in AA. ACM Trans. Web 15 (1) (2021)
Varun Embar, Sriram Srinivasan, Lise Getoor
A comparison of statistical relational learning and graph neural networks for aggregate graph queries. Mach. Learn. 110 (7) (2021)
Sriram Srinivasan, Golnoosh Farnadi, Lise Getoor
BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic. AAAI (2020)
Golnoosh Farnadi, Lise Getoor, Marie-Francine Moens, Martine De Cock
User Profiling Using Hinge-loss Markov Random Fields. CoRR (2020)
Rajdipa Chowdhury, Sriram Srinivasan, Lise Getoor
Joint Estimation of User And Publisher Credibility for Fake News Detection. CIKM (2020)
Babak Salimi, Harsh Parikh, Moe Kayali, Sudeepa Roy, Lise Getoor, Dan Suciu
Causal Relational Learning. CoRR (2020)
Varun Embar, Sriram Srinivasan, Lise Getoor
Estimating Aggregate Properties In Relational Networks With Unobserved Data. CoRR (2020)
Aaron Rodden, Tarun Salh, Eriq Augustine, Lise Getoor
VMI-PSL: Visual Model Inspector for Probabilistic Soft Logic. RecSys (2020)
Sriram Srinivasan, Eriq Augustine, Lise Getoor
Tandem Inference: An Out-of-Core Streaming Algorithm for Very Large-Scale Relational Inference. AAAI (2020)
Varun Embar, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Christos Faloutsos, Lise Getoor
Contrastive Entity Linkage: Mining Variational Attributes from Large Catalogs for Entity Linkage. AKBC (2020)
Lise Getoor
Technical Perspective: Database Repair Meets Algorithmic Fairness. SIGMOD Rec. 49 (1) (2020)
Charles Dickens, Rishika Singh, Lise Getoor
HyperFair: A Soft Approach to Integrating Fairness Criteria. CoRR (2020)
Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor
Interpretable Engagement Models for MOOCs Using Hinge-Loss Markov Random Fields. IEEE Trans. Learn. Technol. 13 (1) (2020)
Pigi Kouki, James Schaffer, Jay Pujara, John O'Donovan, Lise Getoor
Generating and Understanding Personalized Explanations in Hybrid Recommender Systems. ACM Trans. Interact. Intell. Syst. 10 (4) (2020)
Babak Salimi, Harsh Parikh, Moe Kayali, Lise Getoor, Sudeepa Roy, Dan Suciu
Causal Relational Learning. SIGMOD Conference (2020)
Lise Getoor
The Power of Relational Learning (Invited Talk). ICDT (2019)
Dhanya Sridhar, Lise Getoor
Estimating Causal Effects of Tone in Online Debates. IJCAI (2019)
H. V. Jagadish, Francesco Bonchi, Tina Eliassi-Rad, Lise Getoor, Krishna P. Gummadi, Julia Stoyanovich
The Responsibility Challenge for Data. SIGMOD Conference (2019)
Lise Getoor
Responsible Data Science. WWW (Companion Volume) (2019)
Angelika Kimmig, Alex Memory, Renée J. Miller, Lise Getoor
A Collective, Probabilistic Approach to Schema Mapping Using Diverse Noisy Evidence. IEEE Trans. Knowl. Data Eng. 31 (8) (2019)
Golnoosh Farnadi, Behrouz Babaki, Lise Getoor
A Declarative Approach to Fairness in Relational Domains. IEEE Data Eng. Bull. 42 (3) (2019)
Pigi Kouki, James Schaffer, Jay Pujara, John O'Donovan, Lise Getoor
Personalized explanations for hybrid recommender systems. IUI (2019)
Sriram Srinivasan, Nikhil S. Rao, Karthik Subbian, Lise Getoor
Identifying Facet Mismatches In Search Via Micrographs. CIKM (2019)
Lise Getoor
Responsible Data Science. IEEE BigData (2019)
Pigi Kouki, Jay Pujara, Christopher Marcum, Laura M. Koehly, Lise Getoor
Collective entity resolution in multi-relational familial networks. Knowl. Inf. Syst. 61 (3) (2019)
Dhanya Sridhar, Lise Getoor
Estimating Causal Effects of Tone in Online Debates. CoRR (2019)
Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Eric Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros G. Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim M. Hazelwood, Furong Huang, Martin Jaggi, Kevin G. Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konecný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Gordon Murray, Dimitris S. Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan R. Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric P. Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar
SysML: The New Frontier of Machine Learning Systems. CoRR (2019)
Lise Getoor
Responsible Data Science. SIGMOD Conference (2019)
Sriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi, Lise Getoor
Lifted Hinge-Loss Markov Random Fields. AAAI (2019)
Sabina Tomkins, Golnoosh Farnadi, Brian Amanatullah, Lise Getoor, Steven Minton
The Impact of Environmental Stressors on Human Trafficking. ICDM (2018)
Arti Ramesh, Lise Getoor
Topic Evolution Models for Long-Running MOOCs. WISE (2) (2018)
Golnoosh Farnadi, Behrouz Babaki, Lise Getoor
Fairness-Aware Relational Learning and Inference. AAAI Workshops (2018)
Varun Embar, Dhanya Sridhar, Golnoosh Farnadi, Lise Getoor
Scalable Structure Learning for Probabilistic Soft Logic. CoRR (2018)
Lise Getoor
Scalable structured prediction for richly structured socio-behavioral data. RecSys (2018)
Golnoosh Farnadi, Pigi Kouki, Spencer K. Thompson, Sriram Srinivasan, Lise Getoor
A Fairness-aware Hybrid Recommender System. CoRR (2018)
Golnoosh Farnadi, Behrouz Babaki, Lise Getoor
Fairness in Relational Domains. AIES (2018)
Yue Zhang, Arti Ramesh, Jennifer Golbeck, Dhanya Sridhar, Lise Getoor
A Structured Approach to Understanding Recovery and Relapse in AA. WWW (2018)
Dhanya Sridhar, Jay Pujara, Lise Getoor
Scalable Probabilistic Causal Structure Discovery. IJCAI (2018)
Sabina Tomkins, Steven Isley, Ben London, Lise Getoor
Sustainability at scale: towards bridging the intention-behavior gap with sustainable recommendations. RecSys (2018)
Sabina Tomkins, Lise Getoor, Yunfei Chen, Yi Zhang
A Socio-linguistic Model for Cyberbullying Detection. ASONAM (2018)
Golnoosh Farnadi, Stephen H. Bach, Marie-Francine Moens, Lise Getoor, Martine De Cock
Soft quantification in statistical relational learning. Mach. Learn. 106 (12) (2017)
Dhanya Sridhar, Jay Pujara, Lise Getoor
Using Noisy Extractions to Discover Causal Knowledge. AKBC@NIPS (2017)
Pigi Kouki, James Schaffer, Jay Pujara, John O'Donovan, Lise Getoor
User Preferences for Hybrid Explanations. RecSys (2017)
Dhanya Sridhar, Jay Pujara, Lise Getoor
Using Noisy Extractions to Discover Causal Knowledge. CoRR (2017)
Sabina Tomkins, Jay Pujara, Lise Getoor
Disambiguating Energy Disaggregation: A Collective Probabilistic Approach. IJCAI (2017)
Stephen H. Bach, Matthias Broecheler, Bert Huang, Lise Getoor
Hinge-Loss Markov Random Fields and Probabilistic Soft Logic. J. Mach. Learn. Res. 18 (2017)
Sungchul Kim, Nikhil Kini, Jay Pujara, Eunyee Koh, Lise Getoor
Probabilistic Visitor Stitching on Cross-Device Web Logs. WWW (2017)
Angelika Kimmig, Alex Memory, Renée J. Miller, Lise Getoor
A Collective, Probabilistic Approach to Schema Mapping. ICDE (2017)
Angelika Kimmig, Alex Memory, Renée J. Miller, Lise Getoor
A Collective, Probabilistic Approach to Schema Mapping: Appendix. CoRR (2017)
Theodoros Rekatsinas, Saurav Ghosh, Sumiko R. Mekaru, Elaine O. Nsoesie, John S. Brownstein, Lise Getoor, Naren Ramakrishnan
Forecasting rare disease outbreaks from open source indicators. Stat. Anal. Data Min. 10 (2) (2017)
Pigi Kouki, Jay Pujara, Christopher Marcum, Laura M. Koehly, Lise Getoor
Collective Entity Resolution in Familial Networks. ICDM (2017)
Jay Pujara, Eriq Augustine, Lise Getoor
Sparsity and Noise: Where Knowledge Graph Embeddings Fall Short. EMNLP (2017)
Lise Getoor
Statistical Relational Learning: Unifying AI & DB Perspectives on Structured Probabilistic Models. PODS (2017)
Arti Ramesh, Mario Rodriguez, Lise Getoor
Multi-relational influence models for online professional networks. WI (2017)
Theodoros Rekatsinas, Amol Deshpande, Xin Luna Dong, Lise Getoor, Divesh Srivastava
SourceSight: Enabling Effective Source Selection. SIGMOD Conference (2016)
Ben London, Bert Huang, Lise Getoor
Stability and Generalization in Structured Prediction. J. Mach. Learn. Res. 17 (2016)
Sabina Tomkins, Arti Ramesh, Lise Getoor
Predicting Post-Test Performance from Student Behavior: A High School MOOC Case Study. EDM (2016)
Galileo Mark S. Namata Jr., Ben London, Lise Getoor
Collective Graph Identification. ACM Trans. Knowl. Discov. Data 10 (3) (2016)
Dhanya Sridhar, Shobeir Fakhraei, Lise Getoor
A probabilistic approach for collective similarity-based drug-drug interaction prediction. Bioinform. 32 (20) (2016)
Shobeir Fakhraei, Dhanya Sridhar, Jay Pujara, Lise Getoor
Adaptive Neighborhood Graph Construction for Inference in Multi-Relational Networks. CoRR (2016)
Sathappan Muthiah, Bert Huang, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan
Capturing Planned Protests from Open Source Indicators. AI Mag. 37 (2) (2016)
V. S. Subrahmanian, Lada A. Adamic, Lise Getoor, Evimaria Terzi, Brian Uzzi, Lisa Singh
ASONAM 2016 panel: Social network analysis for social good. ASONAM (2016)
Jay Pujara, Lise Getoor
Generic Statistical Relational Entity Resolution in Knowledge Graphs. CoRR (2016)
Brian Uzzi, Lise Getoor, Evimaria Terzi, Lada A. Adamic
ASONAM 2016 keynotes: Ideas and inventions. ASONAM (2016)
Shachi H. Kumar, Jay Pujara, Lise Getoor, David Mares, Dipak Gupta, Ellen Riloff
Unsupervised models for predicting strategic relations between organizations. ASONAM (2016)
Dhanya Sridhar, James R. Foulds, Bert Huang, Lise Getoor, Marilyn A. Walker
Joint Models of Disagreement and Stance in Online Debate. ACL (1) (2015)
Stephen H. Bach, Bert Huang, Lise Getoor
Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees. AISTATS (2015)
Sabina Tomkins, Lise Getoor
Poster Abstract: Contextual Air Conditioning Disaggregation with Probabilistic Soft Logic. BuildSys@SenSys (2015)
Theodoros Rekatsinas, Saurav Ghosh, Sumiko R. Mekaru, Elaine O. Nsoesie, John S. Brownstein, Lise Getoor, Naren Ramakrishnan
SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources. SDM (2015)
James R. Foulds, Shachi H. Kumar, Lise Getoor
Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models. ICML (2015)
Xinran He, Theodoros Rekatsinas, James R. Foulds, Lise Getoor, Yan Liu
HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades. ICML (2015)
Ben London, Bert Huang, Lise Getoor
The Benefits of Learning with Strongly Convex Approximate Inference. ICML (2015)
Angelika Kimmig, Lilyana Mihalkova, Lise Getoor
Lifted graphical models: a survey. Mach. Learn. 99 (1) (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lise Getoor