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D-REX: Dialogue Relation Extraction with Explanations


Sep 10, 2021
Alon Albalak, Varun Embar, Yi-Lin Tuan, Lise Getoor, William Yang Wang

* 10 pages, 4 figures, code at https://github.com/alon-albalak/D-REX 

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Local Explanation of Dialogue Response Generation


Jun 11, 2021
Yi-Lin Tuan, Connor Pryor, Wenhu Chen, Lise Getoor, William Yang Wang


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HyperFair: A Soft Approach to Integrating Fairness Criteria


Sep 05, 2020
Charles Dickens, Rishika Singh, Lise Getoor


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Causal Relational Learning


Apr 07, 2020
Babak Salimi, Harsh Parikh, Moe Kayali, Sudeepa Roy, Lise Getoor, Dan Suciu


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Estimating Aggregate Properties In Relational Networks With Unobserved Data


Jan 27, 2020
Varun Embar, Sriram Srinivasan, Lise Getoor


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User Profiling Using Hinge-loss Markov Random Fields


Jan 05, 2020
Golnoosh Farnadi, Lise Getoor, Marie-Francine Moens, Martine De Cock


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Estimating Causal Effects of Tone in Online Debates


Jun 12, 2019
Dhanya Sridhar, Lise Getoor

* Accepted at International Joint Conference on Artificial Intelligence (IJCAI) 2019 for oral presentation 

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SysML: The New Frontier of Machine Learning Systems


May 01, 2019
Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Jennifer Chayes, Eric Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros 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 Hazelwood, Furong Huang, Martin Jaggi, Kevin Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konečný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Aparna Lakshmiratan, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Murray, Kunle Olukotun, Dimitris Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar


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A Fairness-aware Hybrid Recommender System


Sep 13, 2018
Golnoosh Farnadi, Pigi Kouki, Spencer K. Thompson, Sriram Srinivasan, Lise Getoor


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Scalable Structure Learning for Probabilistic Soft Logic


Jul 03, 2018
Varun Embar, Dhanya Sridhar, Golnoosh Farnadi, Lise Getoor

* 8 pages, 2 figures 

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Hinge-Loss Markov Random Fields and Probabilistic Soft Logic


Nov 17, 2017
Stephen H. Bach, Matthias Broecheler, Bert Huang, Lise Getoor

* Journal of Machine Learning Research (JMLR), 18(109):1-67, 2017 

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Using Noisy Extractions to Discover Causal Knowledge


Nov 16, 2017
Dhanya Sridhar, Jay Pujara, Lise Getoor


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A Collective, Probabilistic Approach to Schema Mapping: Appendix


Feb 11, 2017
Angelika Kimmig, Alex Memory, Renee J. Miller, Lise Getoor

* This is the appendix to the paper "A Collective, Probabilistic Approach to Schema Mapping" accepted to ICDE 2017 

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Generic Statistical Relational Entity Resolution in Knowledge Graphs


Jul 04, 2016
Jay Pujara, Lise Getoor

* In the Sixth International Workshop on Statistical Relational AI, 2016 

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Adaptive Neighborhood Graph Construction for Inference in Multi-Relational Networks


Jul 02, 2016
Shobeir Fakhraei, Dhanya Sridhar, Jay Pujara, Lise Getoor

* Presented at SIGKDD 12th International Workshop on Mining and Learning with Graphs (MLG'16) 

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Value of Information Lattice: Exploiting Probabilistic Independence for Effective Feature Subset Acquisition


Jan 16, 2014
Mustafa Bilgic, Lise Getoor

* Journal Of Artificial Intelligence Research, Volume 41, pages 69-95, 2011 

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Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction


Sep 26, 2013
Stephen Bach, Bert Huang, Ben London, Lise Getoor

* Appears in Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI2013) 

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A Hypergraph-Partitioned Vertex Programming Approach for Large-scale Consensus Optimization


Aug 30, 2013
Hui Miao, Xiangyang Liu, Bert Huang, Lise Getoor


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Graph-based Generalization Bounds for Learning Binary Relations


May 31, 2013
Ben London, Bert Huang, Lise Getoor


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Multi-relational Learning Using Weighted Tensor Decomposition with Modular Loss


May 31, 2013
Ben London, Theodoros Rekatsinas, Bert Huang, Lise Getoor


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Scalable Text and Link Analysis with Mixed-Topic Link Models


Mar 28, 2013
Yaojia Zhu, Xiaoran Yan, Lise Getoor, Cristopher Moore

* Proc. 19th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2013, 473-481 
* 11 pages, 4 figures 

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Utility Elicitation as a Classification Problem


Jan 30, 2013
Urszula Chajewska, Lise Getoor, Joseph Norman, Yuval Shahar

* Appears in Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (UAI1998) 

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LA-LDA: A Limited Attention Topic Model for Social Recommendation


Jan 26, 2013
Jeon-Hyung Kang, Kristina Lerman, Lise Getoor

* The 2013 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction (SBP 2013) 

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Bisimulation-based Approximate Lifted Inference


May 09, 2012
Prithviraj Sen, Amol Deshpande, Lise Getoor

* Appears in Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (UAI2009) 

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Probabilistic Similarity Logic


Mar 15, 2012
Matthias Brocheler, Lilyana Mihalkova, Lise Getoor

* Appears in Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI2010) 

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Lifted Graphical Models: A Survey


Aug 26, 2011
Lilyana Mihalkova, Lise Getoor


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A Probabilistic Approach for Learning Folksonomies from Structured Data


Nov 16, 2010
Anon Plangprasopchok, Kristina Lerman, Lise Getoor

* In Proceedings of the 4th ACM Web Search and Data Mining Conference (WSDM) 

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Growing a Tree in the Forest: Constructing Folksonomies by Integrating Structured Metadata


May 27, 2010
Anon Plangprasopchok, Kristina Lerman, Lise Getoor

* 10 pages, To appear in the Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining(KDD) 2010 

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