We are pleased to organize the Machine Learning Summer School 2024 at OIST: https://groups.oist.jp/mlss It will be from March 4th to 15th, and yes, we call it summer in Okinawa.
The application deadline is September 30, 2023 (UTC). Please apply from here: https://groups.oist.jp/mlss/application Confirmed speakers: Pierre Alquier, ESSEC Marco Cuturi, ENSAE/Apple Kenji Doya, OIST Yu-Chiang Frank Wang, National Taiwan University/ NVIDIA Kenji Fukumizu, ISM Arthur Gretton, UCL Tatsunori Hashimoto, Stanford University Stefanie Jegelka, MIT Gitta Kutyniok, LMU Taiji Suzuki, University of Tokyo/RIKEN AIP Diyi Yang, Stanford University Amy Zhang, UT Austin Han Zhao, UIUC Target Audience: We aim to select 200 highly motivated participants. Our primary target audience consists of master and PhD students with a strong technical background in machine learning related research topics. A limited number of industry practitioners, professors, researchers, outstanding bachelor's students may also be considered. All participants are expected to have knowledge of programming in Python, a keen interest in machine learning, and familiarity with linear algebra, basic calculus, and basic probability and statistics. MLSS2024 organizers: Makoto Yamada (OIST) Masashi Sugiyama (U. of Tokyo / RIKEN AIP) Kenji Doya (OIST) Inquires: [email protected] ---- Kenji Doya <[email protected]> Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu
