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



 28 Jan 2020 Six papers accepted to STARAI Workshop at AAAI 2020.
Six paper accepted at Ninth International Workshop on Statistical Relational AI (Starai) organized at AAAI 2020. Cong...

 28 Jan 2020 Paper on Knowledge-intensive gradient boosting accepted to AAAI 2020.
Paper on Knowledge-intensive gradient boosting accepted to AAAI 2020. This work proposes an approach to leverage qual...

 31 Dec 2019 Dr. Gautam Kunapuli joins Verisk Analytics
Congratulations to Dr. Gautam Kunapuli for joining Verisk Analytics. We wish you all the best for your new venture an...

 16 Oct 2019 Dr. Das Defended his dissertation
Dr. Mayukh Das defended his dissertation on Human-Allied AI successfully on October 14th.

 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...

For previous news, see the News Archive

Funding History


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2012
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Acknowledgements