Ludwig Schmidt

University of Washington

Names

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

Ludwig Schmidt

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.

****@gmail.com
,
****@mit.edu
,
****@berkeley.edu
,
****@cs.washington.edu
,
****@uw.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 Washington (washington.edu)
2021Present
 
Researcher
Toyota Research Institute (tri.global)
20202021
 
Postdoc
University of California Berkeley (berkeley.edu)
20182020
 
PhD student
Massachusetts Institute of Technology (mit.edu)
20112018
 
PhD student
Google (google.com)
20162017
 

Advisors, Relations & Conflicts

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

Postdoc Advisor
Benjamin Recht
****@berkeley.edu
20182020
 
Postdoc Advisor
Moritz Hardt
****@berkeley.edu
20182020
 
Postdoc Advisor
Martin Wainwright
****@berkeley.edu
20182020
 
PhD Advisor
Piotr Indyk
****@mit.edu
20112018
 
Coworker
Kunal Talwar
****@google.com
20162017
 

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

foundation models, large pre-trained models, CLIP, image-text models
2021Present
 
distribution shift, datasets, evaluation
2019Present
 
deep learning, robustness, adversarial examples
2017Present
 
deep learning, loss functions, softmax
2016Present
 
approximate nearest neighbor, locality sensitive hashing
2014Present
 
compressive sensing, sparse recovery, sparse linear regression, high-dimensional statistics
2012Present