Parthe Pandit
 |
Thakur Family Chair Assistant Professor
Center for Machine Intelligence and Data Science (C-MInDS)
Indian Institute of Technology, Bombay
email: pandit@iitb.ac.in
office: KR 320, Kanwal Rekhi building
contact: +91 22 2159 (IIT ext. 3776) |
About Me
I am a core faculty member at C-MInDS, IIT Bombay. Prior to joining IIT Bombay, I was a postdoc at HDSI, UCSD. I obtained a PhD in ECE and MS in Statistics both from UCLA, and a B.Tech + M.Tech dual degree in EE from IIT Bombay.
My current research focusses on understanding the generalization behaviour of interpolating machine learning models such as neural networks. I also develop fast and scalable algorithms for training kernel machines.
Students interested in working with me please read this note.
News
[Mar 2025] C-MInDS is growing! (minds.iitb.ac.in/people/core-faculty)
[Feb 2025] Paper on random feature maps for approximating the Laplacian kernel. (arXiv:2502.15575)
[Jan 2025] Paper accepted at AISTATS 2025. (OpenReview)
[Dec 2024] I am honoured to receive the AI2050 Early Career Fellowship from Schmidt Sciences. (Forbes)
[Nov 2024] We have a massive speed-up for EigenPro algorithms to train large kernel machines, linear memory and linear time! (arXiv:2411.16658)
[Mar 2024] I was awarded the INSPIRE faculty fellowship by DST.
[Mar 2024] Science published our paper on the mechanism of feature learning in neural networks.
[Jan 2024] Paper accepted at AISTATS 2024 'On the Nyström Approximation for Preconditioning in Kernel Machines.'
[Nov 2023] Zhichao Wang presented our contributed talk at DeepMath 2023 based on our work 'Quadratic Approximation of Random Inner-Product Kernel Matrices.’
[Nov 2023] I am now with C-MInDS at IIT Bombay.