Yisong Yue

California Institute of Technology

Names

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Yisong Yue

Emails

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****@caltech.edu
,
****@argo.ai

Education & Career History

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Assistant Professor
California Institute of Technology (caltech.edu)
2014Present
 
Postdoctoral Researcher
Carnegie Mellon University ( )
20102013
 
Research Assistant
Cornell University ( )
20062010
 
Search Quality Analyst Intern
Google ( )
20092009
 
Research Intern
Microsoft Research ( )
20072007
 

Advisors, Relations & Conflicts

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Coauthor
Matteo Ruggero Ronchi
****@caltech.edu
2016Present
Coauthor
Joon Sik Kim
****@caltech.edu
2016Present
Advisee
Stephan Zheng
****@caltech.edu
2013Present
Coauthor
Peter k. Carr
****@disneyresearch.com
20142016
Coauthor
Iain Matthews
****@disneyresearch.com
20112016
Coauthor
Taehwan Kim
****@caltech.edu
20152015
Coauthor
Sarah L. Taylor
****@disneyresearch.com
20152015
Coauthor
Iain A. Matthews
****@disneyresearch.com
20142015
Coauthor
Alina Bialkowski
****@connect.qut.edu.au
20142014
Coauthor
Patrick Lucey
****@disneyresearch.com
20112014
Coauthor
Peter Carr
****@disneyresearch.com
20112014
Coauthor
Sridha Sridharan
****@qut.edu.au
20112014
Coauthor
Chong Wang
****@nlpr.ia.ac.cn
20112014
Coauthor
Carlos Guestrin
****@cs.washington.edu
20112014
Coauthor
Alina Bialkowski
****@disneyresearch.com
20112014
Coauthor
Jiaji Zhou
****@andrew.cmu.edu
20112014
Coauthor
Chong Wang
****@cripac.ia.ac.cn
20112014
Coauthor
Debadeepta Dey
****@cmu.edu
20112014
Coauthor
Siyuan Liu
****@cmu.edu
20112014
Coauthor
Drew Bagnell
****@ri.cmu.edu
20112014
Coauthor
Chong Wang
****@cs.cmu.edu
20112014
Coauthor
Iain Matthews
****@cs.cmu.edu
20112014
Postdoc Advisor
Carlos Guestrin
****@cs.washington.edu
20102013
 
Coauthor
Thorsten Joachims
****@cs.cornell.edu
20072012
PhD Advisor
Thorsten Joachims
****@cs.cornell.edu
20052010
 

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 to Optimize
2015Present
 
Reinforcement Learning
2014Present
 
Imitation Learning
2013Present