Ikko Yamane

Ecole Nationale de la Statistique et de l'Analyse de l'information

Names

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Ikko Yamane

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.

****@ms.k.u-tokyo.ac.jp
,
****@dauphine.psl.eu
,
****@ensai.fr

Education & Career History

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Assistant Professor
Ecole Nationale de la Statistique et de l'Analyse de l'information (ensai.fr)
2022Present
 
Postdoc
Univeristé Paris-Dauphine (dauphine.fr)
20202022
 
Postdoc
The University of Tokyo (u-tokyo.ac.jp)
20192020
 
PhD student
The University of Tokyo (u-tokyo.ac.jp)
20152019
 
MS student
Tokyo Institute of Technology (titech.ac.jp)
20132015
 

Advisors, Relations & Conflicts

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Coauthor
Junya Honda
****@i.kyoto-u.ac.jp
2019Present
 
Coauthor
Takashi Ishida
****@edu.k.u-tokyo.ac.jp
2019Present
 
Postdoc Advisor
Florian Yger
****@lamsade.dauphine.fr
20202022
 
Postdoc Advisor
Masashi Sugiyama
****@k.u-tokyo.ac.jp
20192020
 
PhD Advisor
Masashi Sugiyama
****@k.u-tokyo.ac.jp
20152019
 

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

Causal effect estimation, treatment effect estimation, uplift modeling
2017Present
 
Semi-supervised learning, weakly supervised learning
2017Present
 
Multi-task learning, transfer learning
2016Present