Parthe Pandit

Montecito 2022 

HDSI-Simons Postdoctoral Fellow
Halıcıoğlu Data Science Institute
UC San Diego


About Me

I am a postdoc at UCSD where I work with Misha Belkin and Arya Mazumdar. My research focusses on understanding the interplay between generalization and optimization in Machine Learning.

I defended my Ph.D. thesis in ECE at UCLA in 2021 where I worked with Alyson Fletcher, Sundeep Rangan, and Arash Amini. I also have an MS in Statistics from UCLA, and a B.Tech.+M.Tech. degree in EE from IIT Bombay, with a minor in CS. Between 2014 and 2017 I worked with Sam Coogan, Ankur Kulkarni, and Preeti Rao.


  • [Dec 2022] New paper on feature learning kernel machines beating neural networks! See arxiv:2212.13881

  • [Sept 2022] 2 papers accepted at NeurIPS! See arXiv:2208.09938 and arXiv:2207.06569

  • [Aug 2022] I gave talks at TIFR, IISc, Google AI, IIT Bombay, IISER Pune, and IIT Kanpur on performance analysis of learning GLMs in high dimensions

  • [July 2022] I am visiting the Simons Institute at UC Berkeley as part of the summer cluster on Deep Learning Theory

  • [June 2022] Libin Zhu, Misha Belkin and I wrote a note on the bilinear nature of bottleneck networks arXiv:2206.15058

  • [May 2022] Daniel Beaglehole, Misha Belkin and I submitted a paper on the inconsistency of kernel interpolation in low dimensions arXiv:2205.13525

  • [May 2022] I was recognized by the UCLA ECE department as a Distinguished Ph.D. Dissertation Research Award Finalist

  • [Jan 2022] New paper on hidden linearity of kernels and multi-layer perceptrons in high dimensions: arXiv:2201.08082

  • [Jan 2022] I am now a postdoc at the Halıcıoğlu Data Science Institute at UC San Diego.

  • [Dec 2021] Submitted my MS Statistics thesis titled “Non-asymptotic Analysis of Learning Long-range Autoregressive Generalized Linear Models for Discrete High-dimensional Data”.

  • [Nov 2021] I defended my PhD dissertation titled “Exact analysis of Inverse problems in High dimensions with Applications to Machine Learning”.

  • [June 2021] I am a Quantitative Researcher Intern at Citadel LLC. working with Hua Zheng, Julius Bonart, and Paul Jefferys from the CLB Trading team.

  • [May 2021] Paper accepted at ICML 2021: Implicit Bias of Linear RNNs.

  • [Mar 2021] I have been awarded the HDSI-Simons Postdoctoral Fellowship