Praneeth Netrapalli

I am a research scientist at Google Research India, Bengaluru. I am also an adjunct professor at TIFR, Mumbai and a faculty associate of ICTS, Bengaluru. Prior to this, I was a researcher at Microsoft Research India for 4.5 years and did my postdoc at Microsoft Research New England in Cambridge, MA. I obtained my MS and PhD in ECE from UT Austin where I was fortunate to be advised by Sujay Sanghavi. Before coming to UT, I worked in the Quantitative Analysis group at Goldman Sachs, Bangalore. I obtained my B-Tech in Electrical Engineering from IIT Bombay. Honors and awards: IEEE Signal Processing Society Best Paper Award 2019 Associate of Indian Academy of Sciences (IASc) 2019-2022

Research Interests

The main focus of my work is to develop a deeper understanding of machine learning, ranging across optimization, generalization, robustness etc. Given the difficulty and diversity of these questions, I use both theoretical [Paper1 Paper2] and experimental [Paper3] tools to make progress on these questions.

I also work on designing efficient algorithms for various optimization problems that arise in machine learning [Paper4].

Google Scholar     DBLP     arXiv

News and announcements

• I just moved to Google Research India!

• Our paper showing the optimality of gradient descent for nonsmooth convex optimization, even in the quantum setting has been accepted to ITCS 2021. Joint work with Ankit Garg, Robin Kothari and Suhail Sherif.

• Five papers accepted to NeurIPS 2020. One on pitfalls of simplicity bias in neural networks, one on least squares regression with Markovian data, one on model based offline RL, one on incorporating optimism in FTPL and finally one on projection efficient algorithms for nonsmooth and stochastic convex optimization.

Professional service

On the program committee/area chair: NeurIPS 2019-20, COLT 2019-21, ICLR 2021, ICML 2019, 2021, AISTATS 2019.

Selected publications

* indicates alphabetical ordering of author names. Please see here for all publications.

• How to Escape Saddle Points Efficiently
  C. Jin, R. Ge, P. Netrapalli, S. M. Kakade and M. I. Jordan
  ICML 2017
  

• Streaming PCA: Matching Matrix Bernstein and Near-Optimal Finite Sample Guarantees for Oja's Algorithm [*]
  P. Jain, C. Jin, S. M. Kakade, P. Netrapalli and A. Sidford
  COLT 2016
  

• Phase Retrieval using Alternating Minimization
  P. Netrapalli, P. Jain and S. Sanghavi
  IEEE Transactions on Signal Processing 2015, Vol. 63, Issue 18, Pages 4814–4826
  

• Low-rank Matrix Completion using Alternating Minimization [*]
  P. Jain, P. Netrapalli and S. Sanghavi
  STOC 2013
  

Mentoring

I have been extremely fortunate to work with an amazing set of students.

Interns/Visitors (in reverse chronological order)

• Suhas Kowshik (MIT)

• Carrie Wu (Stanford)

• Vihari Piratla (IIT Bombay)

• Kaustav Tamuly (BITS Goa)

• Suhail M. Shah

• Sheshansh Agrawal (IIT Bombay; now at MSR India)

• Arun Sai Suggala (CMU)

• Dheeraj Nagaraj (MIT)

• Govinda M. Kamath (Stanford; now postdoc at MSR New England)

• Rahul Kidambi (Univ. of Washington; now at Amazon)

• Chi Jin (UC Berkeley; now Asst. Prof. at Princeton EE)

Research fellows (in reverse chronological order)

• Harshay Shah

• Abhishek Panigrahi (now PhD student at Princeton)

• Suhas Jayaram (now PhD student at CMU)

• Raghav Somani (now PhD student at University of Washington)

• Chirag Gupta (now PhD student at CMU)

• Rahul Anand Sharma (now PhD student at CMU)

• Vivek Gupta (now PhD student at University of Utah)

• Yeshwanth Cherapanamjeri (now PhD student at UC Berkeley)

Contact details

• Address: Google India Pvt. Ltd., RMZ Infinity, No. 3, Swami Vivekananda Rd, Sadanandanagar, Bennigana Halli, Bengaluru, Karnataka 560016, India.

• E-mail: pnetrapalli [at] google [dot] com
  

• Follow @PNetrapalli