Hanie Sedghi

Google Research, Brain team

Names

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

Hanie Sedghi (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.

****@usc.edu
,
****@google.com
,
****@gmail.com

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.

Senior Research Scientist
Google Research, Brain team (google.com)
2019Present
 
Research Scientist
Google Research, Brain team (google.com)
20172019
 
Research Scientist
Allen Institute for Artificial Intelligence (allenai.org)
20162017
 
Postdoc
University of California, Irvine (uci.edu)
20152016
 
PhD student
University of Southern California (usc.edu)
20102015
 

Advisors, Relations & Conflicts

Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.

Coauthor
Preetum Nakkiran
****@cs.harvard.edu
Present
 
Coauthor
Saurabh Garg
****@andrew.cmu.edu
2021Present
 
Coauthor
Samira Abnar
****@gmail.com
2020Present
 
Coauthor
Behnam Neyshabur
****@google.com
2017Present
 
Coauthor
Niladri Chatterji
****@berkeley.edu
20192019
 
PhD Advisor
Anima Anandkumar
****@caltech.edu
20132016
 

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

out of distribution generalization, distribution shift
2019Present
 
deep learning theory, generalization, regularization
2014Present
 
active learning for tensor methods
20162017
 
method of moments, tensor methods, spectral methods, neural network, deep learning, RNNs, theoretical machine learning
20142016
 
optimization, stochastic optimization in high dimensions, high dimensional statistics, convergence bounds
20122014
 
conditional random fields, graphical models
20102012