Srinadh Bhojanapalli

Google

Names

How do you usually write your name as author of a paper? Also add any other names you have authored papers under.

Srinadh Bhojanapalli (Preferred)

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

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)
2018Present
 
Postdoc
Toyota Technological Institute at Chicago (ttic.edu)
20152018
 
PhD student
University of Texas, Austin (utexas.edu)
20102015
 

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
2021Present
 
Coauthor
Chulhee Yun
****@mit.edu
2019Present
 
Coworker
Sanjiv kumar
****@google.com
2018Present
 
Coworker
Behnam Neyshabur
****@ttic.edu
2015Present
 
Coworker
Ayan Chakrabarti
****@wustl.edu
2015Present
 
Coworker
Prateek Jain
****@microsoft.com
2012Present
 
Coworker
Praneeth Netrapalli
****@microsoft.com
2010Present
 
Coauthor
Wei Hu
****@cs.princeton.edu
20202021
 
Coauthor
Jingzhao Zhang
****@mit.edu
20202021
 
Coauthor
Chen Zhu
****@cs.umd.edu
20202020
 
Coworker
Nathan Srebro
****@ttic.edu
20152019
 
Coworker
David McAllester
****@ttic.edu
20152018
 
Coworker
Alex Dimakis
****@austin.utexas.edu
20122016
 
PhD Advisor
Sujay Sanghavi
****@mail.utexas.edu
20102016
 

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