Piyushi Manupriya
Interested in Mathematical Guarantees & Elegant Codes
I am an ML postdoc, immensely fortunate to be working with Prof. Anant Raj on optimization & ML theory.
I did my Master's-PhD dual degree from CSE, IIT Hyderabad. My PhD thesis on improving the formulations for Optimal Transport leveraging kernel methods was advised by Prof. J. Saketha Nath, where I was kindly supported by the Google PhD Fellowship. During my PhD, I was fortunate to be guided by Prof. Ganesh Ghalme and to be mentored by Prof. M. Vidyasagar (my Doctoral Committee's Chairman) and Prof. P.N. Karthik. During my Master's under Prof. Vineeth N Balasubramanian, I worked on attribution algorithms for interpretable DL.
Prior to that, I did my BTech in CSE from NIT Uttarakhand (in the Garhwal Himalayas), during which I was chosen for the IASc-INSA-NASI Summer Research Fellowship '17 at ISI Kolkata.
I aspire to be an ML theoretician. In future, I expect to also work on problems in online learning, pruning, fairness, privacy and AI for healthcare.
I did my Master's-PhD dual degree from CSE, IIT Hyderabad. My PhD thesis on improving the formulations for Optimal Transport leveraging kernel methods was advised by Prof. J. Saketha Nath, where I was kindly supported by the Google PhD Fellowship. During my PhD, I was fortunate to be guided by Prof. Ganesh Ghalme and to be mentored by Prof. M. Vidyasagar (my Doctoral Committee's Chairman) and Prof. P.N. Karthik. During my Master's under Prof. Vineeth N Balasubramanian, I worked on attribution algorithms for interpretable DL.
Prior to that, I did my BTech in CSE from NIT Uttarakhand (in the Garhwal Himalayas), during which I was chosen for the IASc-INSA-NASI Summer Research Fellowship '17 at ISI Kolkata.
I aspire to be an ML theoretician. In future, I expect to also work on problems in online learning, pruning, fairness, privacy and AI for healthcare.
- Our proposal on optimization received the ANRF-NPDF grant.
- Presented poster for our AAMAS '25 paper at the ICTS event.
- Attended the BIRS-CMI Game-Theoretic Statistical Inference workshop. Grateful to Prof Shubhada Agrawal & Prof Aaditya Ramdas for letting me join.
- Presented my PhD work on Optimal Transport at IIT Madras. Thanks to Prof. Harish Guruprasad for the kind invitation.
- Our work, Multi-agent Multi-armed Bandits with Minimum Reward Guarantee Fairness, was presented as an Oral at AAMAS '25.
- Presented our TMLR '24 work as an invited poster at ICLR '25.
- PhD Thesis, Improving Optimal Transport using Kernel Methods, available on HAL. BibTeX.
- Defended my thesis (slides) on the eve of Holi, i.e. on my father's (non-Gregorian) birthday.
- Presented our ICML '24 work as an invited poster at ACM ARCS '25.