Srinadh Bhojanapalli (Preferred)
Srinadh Bhojanapalli
Names
How do you usually write your name as author of a paper? Also add any other names you have authored papers under.
Emails
Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.
****@ttic.edu
, ****@google.com
, ****@utexas.edu
Personal Links
Add links to your profiles on other sites. (Optional)
Education & Career History
Enter your education and career history. The institution domain is used for conflict of interest detection and institution ranking. For ongoing positions, leave the end field blank.
Research Scientist
Google (google.com)
2018 – Present
Postdoc
Toyota Technological Institute at Chicago (ttic.edu)
2015 – 2018
PhD student
University of Texas, Austin (utexas.edu)
2010 – 2015
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
Coauthor
Zhiyuan Li
****@cs.princeton.edu
2021 – Present
Coauthor
Chulhee Yun
****@mit.edu
2019 – Present
Coworker
Sanjiv kumar
****@google.com
2018 – Present
Coworker
Behnam Neyshabur
****@ttic.edu
2015 – Present
Coworker
Ayan Chakrabarti
****@wustl.edu
2015 – Present
Coworker
Prateek Jain
****@microsoft.com
2012 – Present
Coworker
Praneeth Netrapalli
****@microsoft.com
2010 – Present
Coauthor
Samy Jelassi
****@gmail.com
2022 – 2022
Coauthor
Wei Hu
****@cs.princeton.edu
2020 – 2021
Coauthor
Jingzhao Zhang
****@mit.edu
2020 – 2021
Coauthor
Chen Zhu
****@cs.umd.edu
2020 – 2020
Coworker
Nathan Srebro
****@ttic.edu
2015 – 2019
Coworker
David McAllester
****@ttic.edu
2015 – 2018
Coworker
Alex Dimakis
****@austin.utexas.edu
2012 – 2016
PhD Advisor
Sujay Sanghavi
****@mail.utexas.edu
2010 – 2016
Expertise
For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing
generalization
Present
optimization
Present
matrix factorization
Present
deep learning
Present