Upcoming talks (none)


None

Past talks
Martin Bullinger
(Oxford University)
Stability in Random Hedonic Games (10:00-11:30 JST time) 2024/02/28
Markus Ewert
(Techinical University of Munich)
Learning to Bid against Humans with Unclear Motives (16:30-17:30 JST time) 2024/02/27

Purpose & Registration Guidelines


This seminar aims to invite researchers from academia or industry, featuring talks that present cutting-edge research at the intersection of Operations Research (OR), Operations Management (OM), Economics (Econ), Computer Science (CS), and Machine Learning (ML). The goal is to enhance connections between diverse research domains and industries, fostering the initiation of new research projects and facilitating the expansion of your professional network.

If you would like to register this seminar, kindly spend 1 minute to complete this sheet.
Upon submitting your request, you will be added to our email list. When we have a new presenter, you will receive both a notification and the Zoom link for the online seminar.

About the AORMS seminar


The current version is preliminary, and the details of potential new talks have not been added to the website yet.

Organizing committee (alphabetical order):
Wang Chi Cheung (National University of Singapore)
Kaito Fujii (National Institute of Informatics)
Kenzo Imamura (The University of Tokyo)
Hanzhang Qin (National University of Singapore)
Shinji Ito (NEC & AIP)
Yi Tang (University of Minnesota)
Donghao Zhu (The Institute of Statistical Mathematics & The University of Tokyo)

Program committee (alphabetical order):
Kenji Fukumizu (The Institute of Statistical Mathematics)
Fuhito Kojima (The University of Tokyo)
Andrew Lim (National University of Singapore)

This seminar is supported by
- Research Center for Statistical Machine Learning, The Institute of Statistical Mathematics
- JSPS KAKENHI Transformative Research Areas (A) ''Data description science''

Copyright © Donghao Zhu, IT support @XiangLin Nie