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 now working on problems in Fairness & Online Learning.
I am kindly supported by the Google PhD Fellowship.
I aspire to be an ML theoretician and to also work in AI for healthcare.
The environmentalist in me is interested in developing the theory for distilling large models. I am also 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 for Summer '17 at ISI-Kolkata.
Highlights
- Extended Abstract on improving fairness in matchings under uncertainty, accepted at AFME workshop, NeurIPS '24.
- Presented posters for MMD-UOT (at the WiML workshop) and Sparse-UOT at ICML '24.
- Consistent OT with Empirical Conditional Measures accepted at AISTATS '24.
- MMD-Regularized UOT Journal accepted at Transactions on ML Research (TMLR) '24.