Connectionists: Machine Learning Research School (MLRS), August 2023, Bangkok

[Wittawat Jitkrittum]

Dear all,

The second Machine Learning Research School (MLRS <https://www.mlrs.ai/>)
will be held at Digital Economy Promotion Agency <http://www.depa.or.th/>
(DEPA) in Bangkok, Thailand between August 2 - 9, 2023 (8 days), including
one day of Bangkok city tour. The MLRS aims to provide basic understanding
of machine learning research to students, researchers, and practitioners,
through comprehensive tutorials by renowned machine learning experts.

=== INVITED SPEAKERS & TOPICS ===


   1.

   Diyi Yang <https://cs.stanford.edu/~diyiy/>, Stanford University
   (natural language processing)
   2.

   Fisher Yu <https://www.yf.io/>, ETH Zürich (computer vision)
   3.

   David Rolnick <https://davidrolnick.com/>, McGill University and Mila
   (AI for climate change)
   4.

   Sara Hooker <https://www.sarahooker.me/>, Cohere For AI (machine
   learning and fairness)
   5.

   Zheng Wen <http://www.zheng-wen.com/>, Google DeepMind (reinforcement
   learning)
   6.

   Pasin Manurangsi <https://pasin30055.github.io/>, Google Research
   (privacy and approximation algorithms)
   7.

   Chih-Jen Lin <https://www.csie.ntu.edu.tw/~cjlin/>, National Taiwan
   University (fundamentals of machine learning)
   8.

   Emtiyaz Khan <https://emtiyaz.github.io/>, RIKEN center for Advanced
   Intelligence Project (Bayesian inference)



=== APPLICATION & PROGRAM ===

To participate, please apply at  https://www.mlrs.ai/participate
<https://www.mlrs.ai/participate>. Application deadline: June 7, 2023. Our
target audience are research students, industry practitioners working on
machine learning or related areas, and academics who wish to understand
machine learning from a technical perspective.

All applicants are subject to a selection process. There is no application
fee. However, for applicants selected to participate, there is a small
registration fee (details at https://www.mlrs.ai/participate). The
registration fee will allow us to offer:

   1.

   Lunch and two coffee breaks per day
   2.

   Access to all lectures (in English).
   3.

   Poster presentation by participants
   4.

   Two coding sessions
   5.

   Social events

Full (tentative) schedule can be found at https://www.mlrs.ai/schedule. A
limited number of scholarships in the form of a registration fee waiver is
available for students who are accepted to attend MLRS. Everyone is welcome
to apply regardless of their origin, nationality, and country of residence.

=== CONTACT ===:

Please do not hesitate to contact us at mlresearchschool at gmail.com for any
questions or suggestions.


Kind regards,

The MLRS 2023 Organizing Team
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