Debadeepta Dey

Microsoft Research

Names

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

Debadeepta Dey

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.

****@microsoft.com
,
****@cmu.edu
,
****@debadeepta.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.

Principal Researcher
Microsoft Research (microsoft.com)
2019Present
 
Senior Researcher
Microsoft Research (microsoft.com)
20152019
 
PhD student
School of Computer Science, Carnegie Mellon University (cs.cmu.edu)
20102015
 

Advisors, Relations & Conflicts

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

Coauthor
Yuhong Li
****@illinois.edu
20222022
 
Coauthor
Tianle Cai
****@princeton.edu
20222022
 
Coauthor
Colin White
****@abacus.ai
20212022
 
Coauthor
Mikhail Khodak
****@cmu.edu
20212022
 
Coauthor
Renbo Tu
****@cmu.edu
20212022
 
Coauthor
Ganesh Jawahar
****@gmail.com
20212022
 
Coauthor
Mojan Javaheripi
****@ucsd.edu
20212022
 
Coauthor
Dongkuan Xu
****@psu.edu
20212022
 
Coauthor
Shital Shah
****@microsoft.com
20162021
 
Coauthor
Martial Hebert
****@cs.cmu.edu
20122016
 
PhD Advisor
J. Andrew Bagnell
****@ri.cmu.edu
20102015
 
Coauthor
Martial Hebert
****@ri.cmu.edu
20112014
 
Coauthor
Drew Bagnell
****@ri.cmu.edu
20112014
 
Coauthor
Ashish Kapoor
****@microsoft.com
20112014
 

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

Neural Architecture Search
2017Present
 
Deep Learning
2013Present
 
Reinforcement Learning
2010Present
 
Robotics
2007Present