Jiri Hron

Google

Names

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

Jiri Hron

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
,
****@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.

Researcher
Google (google.com)
2023Present
 
Student Researcher
Google (google.com)
20192022
 
PhD student
University of Cambridge (cam.ac.uk)
20172022
 
MS student
University College London (ucl.ac.uk)
20162017
 

Advisors, Relations & Conflicts

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

Coauthor
Niki Kilbertus
****@tuebingen.mpg.de
2020Present
 
Coauthor
Karl Krauth
****@berkeley.edu
2020Present
 
Coauthor
Michael I Jordan
****@stat.berkeley.edu
2020Present
 
Coauthor
Sebastian Tschiatschek
****@microsoft.com
2019Present
 
Coauthor
Katja Hofmann
****@microsoft.com
2019Present
 
Coauthor
Przemysław Mazur
****@gmail.com
2019Present
 
Coauthor
Roman Novak
****@google.com
2019Present
 
Coauthor
Yasaman Bahri
****@google.com
2019Present
 
Coauthor
Jascha Sohl-Dickstein
****@google.com
2019Present
 
Coauthor
Alexander GG Matthews
****@google.com
2018Present
 
Coauthor
Mark Rowland
****@google.com
2018Present
 
PhD Advisor
Zoubin Ghahramani
****@eng.cam.ac.uk
2017Present
 
PhD Advisor
Richard E Turner
****@cam.ac.uk
2017Present
 

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

recommendation systems
2020Present
 
infinite width limits of neural network, NNGP, NTK
2018Present
 
bandits, online learning, sequential decision making
20202022
 
generalisation, double descent, ridgeless regression
20192020
 
approximate inference, bayesian statistics, inference algorithms
20162019
 
kernel methods, reproducing kernel hilbert spaces
20162019