Publications
2016
Kouki, P., Marcum, C., Koehly, L. & Getoor, L. Entity Resolution in Familial Networks.
12th International Workshop on Mining and Learning with Graphs (2016).
kouki-mlg16.pdf (633.08 KB) Rekatsinas, T. et al. Forecasting Rare Disease Outbreaks from Open Source Indicators.
Statistical Analysis and Data Mining: The ASA Data Science Journal (2016).
rekatsinas-sadm17.pdf (303.08 KB) Sridhar, D. & Getoor, L. Joint Probabilistic Inference of Causal Structure.
22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining Workshop on Causal Discovery (2016).
sridhar-kdd-ws16.pdf (204.51 KB) Kumar, S. et al. Unsupervised Models for Predicting Strategic Relations between Organizations.
IEEE ACM International Conference on Advances in Social Networks Analysis and Mining (IEEE, 2016).
kumar_asonam16.pdf (212.61 KB) 2018
Sridhar, D., Springer, A., Hollis, V., Whittaker, S. & Getoor, L. Estimating Causal Effects of Exercise from Mood Logging Data.
ICML Workshop on Machine Learning for Causal Inference, Counterfactual Prediction, and Autonomous Action (2018).
sridhar-causalml18.pdf (333.69 KB) Farnadi, G., Babaki, B. & Getoor, L. Fairness-aware Relational Learning and Inference.
Third International Workshop on Declarative Learning Based Programming (DeLBP) at thirty-second AAAI conference on Artificial Intelligence (2018).
GFarnadi-DeLBP2018.pdf (169.37 KB) Pages