Statistical Artificial Intelligence and Relational Learning Group is interested in making smart machines that humans can use reliably in their everyday lives. Artificial Intelligence (AI) has made tremendous progress since its early days, and its advancement has helped shape the progress of research in many other fields. Traditionally, AI is used with either the logical approach to address structured problems or with the statistical approach to handle uncertainty. Our research interests lie at the intersection: advancement and application of algorithms that can do both.

Research Highlights


Latest News



 21 Aug 2019 Two abstracts accepted at WiML, 2019
Congratulations to all the authors on the acceptance of their abstracts at 14th Women in Machine Learning workshop co...

 21 Aug 2019 Professor Natarajan will be a program co-chair for SDM 2020
Professor Natarajan is serving as the program co-chair for SIAM Conference on Data Mining (SDM) 2020 with Professor Y...

 26 Jul 2019 Professor Natarajan recognized as distinguished SPC at IJCAI 2019
Congratulations to Professor Natarajan for recognition as Distinguished SPC at IJCAI 2019 for his exceptional reviewi...

 04 Apr 2019 Professor Natarajan is the Program Chair for CODS-COMAD 2020
Professor Natarajan is serving as one of the Program Chairs for CODS-COMAD 2020 to be held in Hyderabad from 5th to 7...

 25 Mar 2019 Nandini's paper on Causal learning for Post-Partum Depression accepted to AAAI 2019 Spring Symposium
Nandini’s paper on Causal learning for Post-Partum Depression accepted to AAAI 2019 Spring Symposium on “Beyond Curve...

For previous news, see the News Archive

Funding History


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2012
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Acknowledgements