Gintare Karolina Dziugaite

McGill University

Names

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

Gintare Karolina Dziugaite

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.

****@cam.ac.uk
,
****@gmail.com
,
****@elementai.com
,
****@google.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.

Adjunct Professor
McGill University (mcgill.ca)
2021Present
 
Senior Researcher
Google (google.com)
2021Present
 
Member
Montreal Institute for Learning Algorithms, University of Montreal, University of Montreal (mila.umontreal.ca)
2020Present
 
Researcher
ServiceNow (servicenow.com)
20202021
 
Research Scientist
Element AI (elementai.com)
20182020
 
PhD student
University of Cambridge (cam.ac.uk)
20122019
 
MS student
University of Cambridge (cam.ac.uk)
20112012
 

Advisors, Relations & Conflicts

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

Coauthor
Surya Ganguli
****@stanford.edu
2020Present
 
Coauthor
Bobby He
****@stats.ox.ac.uk
2020Present
 
Coauthor
Soufiane Hayou
****@yahoo.fr
2020Present
 
Coauthor
Mansheej Paul
****@stanford.edu
2020Present
 
Coauthor
Daniel Soudry
****@gmail.com
2019Present
 
Coauthor
Shai Ben-David
****@gmail.com
2019Present
 
Coworker
Alexandre Lacoste
****@elementai.com
2018Present
 
Coauthor
Michael Carbin
****@csail.mit.edu
2018Present
 
Coauthor
Jonathan Frankle
****@mit.edu
2018Present
 
Coauthor
Daniel M. Roy
****@ustat.utoronto.ca
2011Present
 
PhD Advisor
Zoubin Ghahramani
****@eng.cam.ac.uk
20132019
 

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

Data compression
2020Present
 
Interpretable ML
2019Present
 
Neural network pruning, compression
2018Present
 
Generalization Theory
2016Present
 
PAC-Bayes
2016Present
 
Deep learning
2014Present
 
Statistical Learning Theory
2014Present
 
Generative models, generative adversarial nets
20142018
 
Adversarial Examples
20142018