Frederic Sala

University of Wisconsin, Madison

Names

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

Frederic Sala

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.

****@stanford.edu
,
****@cs.wisc.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.

Assistant Professor
University of Wisconsin, Madison (wisc.edu)
2021Present
 
Postdoc
Stanford University (stanford.edu)
20172020
 
PhD student
University of California, Los Angeles (ucla.edu)
20112016
 

Advisors, Relations & Conflicts

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

Coauthor
Mikhail Khodak
****@cmu.edu
Present
 
Coauthor
Benedikt Boecking
****@andrew.cmu.edu
20212022
 
Coauthor
Ameet Talwalkar
****@cmu.edu
20212022
 
Coauthor
Artur W. Dubrawski
****@andrew.cmu.edu
20212022
 
Coauthor
Paul Bogdan
****@usc.edu
20202022
 
Coworker
Jason Fries
****@gmail.com
20182022
 
Coauthor
Alexander Ratner
****@cs.washington.edu
20182022
 
Postdoc Advisor
Chris Re
****@cs.stanford.edu
20172022
 
Coworker
Stephen Bach
****@brown.edu
20172022
 
Coauthor
Sujith Ravi
****@gmail.com
20202020
 
Postdoc Advisor
Guy Van den Broeck
****@ucla.edu
20172017
 
PhD Advisor
Lara Dolecek
****@ee.ucla.edu
20112016
 

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

Learning with Limited Supervision
Present
 
Representation Learning
2017Present
 
Semisupervised & Weakly Supervised Learning
2017Present
 
Non-Euclidean & Geometric Machine Learning
2017Present