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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
2892016
Counting belief propagation
K Kersting, B Ahmadi, S Natarajan
arXiv preprint arXiv:1205.2637, 2012
1852012
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, 25-56, 2012
1722012
Dynamic preferences in multi-criteria reinforcement learning
S Natarajan, P Tadepalli
Proceedings of the 22nd international conference on Machine learning, 601-608, 2005
1672005
Transfer in variable-reward hierarchical reinforcement learning
N Mehta, S Natarajan, P Tadepalli, A Fern
Machine Learning 73, 289-312, 2008
1242008
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
1232011
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
1202017
A decision-theoretic model of assistance
A Fern, S Natarajan, K Judah, P Tadepalli
Journal of Artificial Intelligence Research 50, 71-104, 2014
1202014
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
1012005
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
1002018
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
972010
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
902009
Exploiting symmetries for scaling loopy belief propagation and relational training
B Ahmadi, K Kersting, M Mladenov, S Natarajan
Machine learning 92, 91-132, 2013
872013
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
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
722011
Relational logistic regression
SM Kazemi, D Buchman, K Kersting, S Natarajan, D Poole
Fourteenth International Conference on the Principles of Knowledge …, 2014
562014
Logical hierarchical hidden markov models for modeling user activities
S Natarajan, HH Bui, P Tadepalli, K Kersting, WK Wong
Inductive Logic Programming: 18th International Conference, ILP 2008 Prague …, 2008
552008
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
442017
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, 75-100, 2015
442015
Guiding autonomous agents to better behaviors through human advice
G Kunapuli, P Odom, JW Shavlik, S Natarajan
2013 IEEE 13th international conference on data mining, 409-418, 2013
412013
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