My research interests are in distributionally robust optimization, worst case probability bounds, learning and applications in health care. I have also worked on problems at the intersection of machine learning and game theory- more specifically on topic models, multi-armed bandit algorithms and mechanisms, crowdsourcing.
"Distributionally robust optimization through the lens of submodularity" - with Karthik Natarajan and Arjun Ramachandra (under review) arXiv
"Distributionally Robust Affine Markov Decision Processes" - with Karthyek Murthy (under review)
"Robustness to Dependency in Influence Maximization" - with Louis Chen, Lim Chee Chin and Karthik Natarajan, Management Science, 2024
"Extremal Probability Bounds in Combinatorial Optimization" - with Selin Damla Ahipasaoglu, Arjun Ramachandra and Karthik Natarajan, SIAM Journal of Optimization, 2022 Optimization Online
"Admission Control in the Presence of Arrival Forecasts with Blocking-based Policy Optimization" - with Karthyek Murthy and Satyanath Bhat, Winter Simulation Conference (WSC) 2022
Dominant Strategy Truthful, Deterministic Multi-armed Bandit Mechanisms with Logarithmic Regret for Sponsored Search Auctions" - with Satyanath Bhat, Prabuchandran K. J., Shirish Shevade and Y. Narahari , Applied Intelligence, 2022
"Exploiting Partial Correlations in Distributionally Robust Optimization"- with Karthik Natarajan and Karthyek Murthy, Mathematical Programming, 2021 E-copy Optimization Online
"Tree Bounds for Sums of Bernoulli Random Variables: A Linear Optimization Approach" - with Karthik Natarajan, INFORMS Journal of Optimization, 2021 Optimization Online MATLAB Code
"Correlation Robust Influence Maximization" - with Louis Chen, Lim Chee Chin and Karthik Natarajan, NeurIPS 2020 PDF arXiv
Multi-Label Classification from Multiple Noisy Sources Using Topic Models" , Information, 2017 - with Satyanath Bhat, Shirish Shevade and Y. Narahari
"A Dominant Strategy Truthful, Deterministic Multi-armed Bandit Mechanism with Logarithmic Regret", AAMAS, 2017 - with Satyanath Bhat, Prabuchandran K. J., Shirish Shevade and Y. Narahari
"Topic Model Based Multi-Label Classification",IEEE ICTAI, 2016 - with Satyanath Bhat, Shirish Shevade and Y. Narahari arXiv
"A Robust UCB Scheme for Active Learning in Regression from Strategic Crowds", IJCNN 2016 - with Satyanath Bhat, Dinesh Garg, Shirish Shevade and Y. Narahari arXiv
"A Truthful Mechanism with Biparameter Learning for Online Crowdsourcing", AAMAS, 2016 - with Satyanath Bhat, Shweta Jain and Y. Narahari
"Mechanism Design for Stochastic Multi-armed Bandit Problems", Indian Journal of Pure and Applied Mathematics (IJPAM) - Special issue, 2016 - with Shweta Jain, Satyanath Bhat, Ganesh Ghalme, and Y. Narahari
"System and method to implement sharing of paper documents using a virtual currency towards making organizations green”, US Patent, 2014 - Joint work with Shourya Roy, Jutta Williamowski, Antonietta Grasso, Yves Hoppenot (filed by Xerox Corporation)
Reviewer for several journals including Operations Research, Mathematical Programming, Management Science, SIAM Journal of Optimization, Journal of Optimization Theory and Applications (JOTA), Manufacturing and Service Operations Management (MSOM ), Production and Operations Management Society (POMS), European Journal of Operations Research (EJOR), Computers & OR, Computational Optimization and Applications
PC for conferences: ECAI 2025, IJCAI Demonstations Track 2022, AAAI 2023
Academic Co-ordinator, ACM India Winter School on Optimization for ML and OR at IIT Goa, December 2022
LSO Summer School , IIT Bombay, June 2025 (upcoming)
SIAM OP 2023, June 2023 at Seattle, USA
Invited speaker at Large Scale Optimization Summer School, IIT Kanpur, April 2023
Florence Nightingale Data Science Talks, IIT Palakkad, March 2023 (virtual)
ICCOPT, July 2022 at Lehigh University, Bethlehem, PA, USA
Invited speaker at Summer School on DS/AI/ML, July 2022 organized jointly by ACM India and IIT Madras (RBCDSAI) at Coimbatore, India
Research Visit at SUTD, Singapore, June 2022
Online Workshop on Deep Reinforcement Learning (organized by IISc, Bangalore), October 2021 (virtual)
OR63, September 2021 (virtual)
SIAM Conference on Optimization, July 2021 (virtual)
European Conference on Operations Research (EURO), July, 2021, Athens
Robust Optimization Webinar, Jan 2021
International Conference on Continuous Optimization (ICCOPT), 2019, Berlin
Manufacturing and Service Operations Management (MSOM), 2019, Singapore
Production and Operations Management Society (POMS-HK), 2019, Hong Kong
International Symposium on Mathematical Programming (ISMP), 2018, Bordeaux, France
AAMAS 2017, Sao Paulo, Brazil
ICTAI 2016, California, USA
IJCNN 2016, Vancouver, Canada
IISc Undergrad Summer School 2016
IISc Undergrad Summer School 2014
SUTD Research Jam (Post-doc Society), 2019