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Sriraam Natarajan
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Statistical relational artificial intelligence: Logic, probability, and computation
LD Raedt, K Kersting, S Natarajan, D Poole
Synthesis lectures on artificial intelligence and machine learning 10 (2), 1-189, 2016
2842016
Counting belief propagation
K Kersting, B Ahmadi, S Natarajan
arXiv preprint arXiv:1205.2637, 2012
1842012
Gradient-based boosting for statistical relational learning: The relational dependency network case
S Natarajan, T Khot, K Kersting, B Gutmann, J Shavlik
Machine Learning 86 (1), 25-56, 2012
1712012
Dynamic preferences in multi-criteria reinforcement learning
S Natarajan, P Tadepalli
Proceedings of the 22nd international conference on Machine learning, 601-608, 2005
1622005
Learning markov logic networks via functional gradient boosting
T Khot, S Natarajan, K Kersting, J Shavlik
2011 IEEE 11th international conference on data mining, 320-329, 2011
1252011
Transfer in variable-reward hierarchical reinforcement learning
N Mehta, S Natarajan, P Tadepalli, A Fern
Machine Learning 73 (3), 289-312, 2008
1232008
Combining content-based and collaborative filtering for job recommendation system: A cost-sensitive Statistical Relational Learning approach
S Yang, M Korayem, K AlJadda, T Grainger, S Natarajan
Knowledge-Based Systems 136, 37-45, 2017
1122017
Learning first-order probabilistic models with combining rules
S Natarajan, P Tadepalli, E Altendorf, TG Dietterich, A Fern, A Restificar
Proceedings of the 22nd international conference on Machine learning, 609-616, 2005
1002005
Mixed sum-product networks: A deep architecture for hybrid domains
A Molina, A Vergari, N Di Mauro, S Natarajan, F Esposito, K Kersting
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
962018
Speeding up inference in Markov logic networks by preprocessing to reduce the size of the resulting grounded network
J Shavlik, S Natarajan
Twenty-First International Joint Conference on Artificial Intelligence, 2009
912009
Exploiting symmetries for scaling loopy belief propagation and relational training
B Ahmadi, K Kersting, M Mladenov, S Natarajan
Machine learning 92 (1), 91-132, 2013
902013
Multi-agent inverse reinforcement learning
S Natarajan, G Kunapuli, K Judah, P Tadepalli, K Kersting, J Shavlik
2010 ninth international conference on machine learning and applications …, 2010
902010
Machine learning for personalized medicine: predicting primary myocardial infarction from electronic health records
JC Weiss, S Natarajan, PL Peissig, CA McCarty, D Page
Ai Magazine 33 (4), 33-33, 2012
832012
A Decision-Theoretic Model of Assistance.
A Fern, S Natarajan, K Judah, P Tadepalli
IJCAI, 1879-1884, 2007
752007
Imitation learning in relational domains: A functional-gradient boosting approach
S Natarajan, S Joshi, P Tadepalli, K Kersting, J Shavlik
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
692011
Logical hierarchical hidden markov models for modeling user activities
S Natarajan, HH Bui, P Tadepalli, K Kersting, WK Wong
International Conference on Inductive Logic Programming, 192-209, 2008
552008
Relational logistic regression
SM Kazemi, D Buchman, K Kersting, S Natarajan, D Poole
Fourteenth International Conference on the Principles of Knowledge …, 2014
542014
Gradient-based boosting for statistical relational learning: the Markov logic network and missing data cases
T Khot, S Natarajan, K Kersting, J Shavlik
Machine Learning 100 (1), 75-100, 2015
442015
A decision-theoretic model of assistance
A Fern, S Natarajan, K Judah, P Tadepalli
Journal of Artificial Intelligence Research 50, 71-104, 2014
442014
Poisson sum-product networks: A deep architecture for tractable multivariate poisson distributions
A Molina, S Natarajan, K Kersting
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
412017
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