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ML Math Reading Session #6 (APAC) February 17, 2020 at 10:00 am – 12:00 pm Remote (Remote, Japan, AL, Japan) This is Session #6 of 11 fully remote Machine Learning Math Reading Sessions. We'll go through “Mathematics For Machine Learning” by Marc Peter Deisenroth, A Aldo Faisal, and Cheng Soon Ong, to be published by Cambridge University Press. https://mml-book.github.io/ Join Zoom MeetingTBA You can find more information about the book, the sessions and how to…
Recommendation Systems (study sessions) February 22, 2020 at 5:00 am – 7:00 am Tokyo Metropolitan Central Library (5-chōme-7-13 Minamiazabu, Minato City, Tōkyō-to, Japan 106-0047) In Session #5 we will study reinforcement learning methods in recommendation systems. Christopher Silkworth (https://www.linkedin.com/in/christopher-silkworth-7526471b) is first presenting about RL in recommenders, and we progress to cover the more detailed approach presented in the following paper. ● Generative Adversarial User Model for Reinforcement Learning Based Recommendation System (Chen et al., 2019) https://arxiv.org/abs/1812.10613 📌 Abstract (from…
Deep Learning with Bayesian Principles, Emtiyaz Khan February 25, 2020 at 9:30 am – 11:30 am 1-chōme-6-1 Ōtemachi (Otemachi Bldg., 1-chōme-6-1 Ōtemachi, Chiyoda City, Tōkyō-to, Japan 100-0004) We are honored to welcome Mohammad Emtiyaz Khan (RIKEN AIP) for a talk on "Deep Learning with Bayesian Principles" at Mirai Lab Palette in Otemachi. In December he gave a 2-hour tutorial at NeurIPS in Vancouver, that received a lot of fantastic feedback from the machine learning research community and we're excited that he has…

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