Piyushi Manupriya
CSE, Indian Institute of Technology - Hyderabad
I am a PhD candidate at IIT Hyderabad. I worked on Improving Optimal Transport using Kernel Methods under Prof. J. Saketha Nath. I am currently moving to problems in Fairness & Stochastic-MAB. I am kindly supported by the Google PhD Fellowship. Link to my CV.
I aspire to be an ML theoretician and to work in AI for healthcare.
The environmentalist in me is interested in developing theory-backed methods for distilling large models. I am fascinated by the algorithmic approaches for ML-interpretability and Differential Privacy. I am thankful to Prof. Vineeth N Balasubramanian, under whom I worked on Explainable ML during my Masters at IIT-H.
During my undergrad at NIT-UK, I was an awardee of the IASc-NASI-INSA Summer Research Fellowship at ISI, Kolkata.
(My infrequently-exposed non-academic side: I was born with an interest in Spirituality and Mathematics (in a family of Doctors). I am a sports-lover, a self-taught Flute-enthusiast, a huge fan of Disney animation, and have some interests in Creative Arts and Literature. Although I was born and raised in Bihar,
I learned almost everything in the Garhwal hills of the Himalayas during my undergraduate years. I envision eradicating child labour in the near future, looking for people to join me.)
Recent News
- (Jan '24) Consistent Optimal Transport with Empirical Conditional Measures accepted at International Conference on Artificial Intelligence and Statistics (AISTATS).
- (Dec '23) MMD-Regularized UOT Journal accepted at Transactions on ML Research (TMLR).
- (Jul '23) Talk at CSA, IISc.