Archived Publications (Latest: https://linqs.github.io/linqs-website/publications/)

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2020
S. Srinivasan, Farnadi, G., and Getoor, L., “BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic”, in AAAI Conference on Artificial Intelligence (AAAI), 2020.PDF icon srinivasan-aaai20a.pdf (478.65 KB)
2015
J. Pujara, London, B., and Getoor, L., “Budgeted Online Collective Inference”, in UAI, 2015.PDF icon pujara-uai15.pdf (302.63 KB)
2014
N. Ramakrishnan, Butler, P., Self, N., Khandpur, R., Saraf, P., Wang, W., Cadena, J., Vullikanti, A., Korkmaz, G., Kuhlman, C., Marathe, A., Zhao, L., Ting, H., Huang, B., Srinivasan, A., Trinh, K., Getoor, L., Katz, G., Doyle, A., Ackermann, C., Zavorin, I., Ford, J., Summers, K., Fayed, Y., Arredondo, J., Gupta, D., and Mares, D., “‘Beating the news’ with EMBERS: Forecasting Civil Unrest using Open Source Indicators”, in ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2014.PDF icon ramakrishnan-kdd14.pdf (1.15 MB)
J. Pujara and Getoor, L., “Building Dynamic Knowledge Graphs”, in NIPS Workshop on Automated Knowledge Base Construction, 2014.PDF icon pujara_akbc14.pdf (143.26 KB)
2009
P. Sen, Deshpande, A., and Getoor, L., “Bisimulation-based Approximate Lifted Inference”, in Uncertainty in Artificial Intelligence, 2009.PDF icon uai09.pdf (240.89 KB)
2005
M. desJardins, Rathod, P., and Getoor, L., “Bayesian Network Learning with Abstraction Hierarchies and Context-Specific Independence”, in 16th European Conference on Machine Learning (ECML), 2005.