Dear all, The first 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 4th - 11th, 2019 (8 days). The MLRS aims toprovide basic understanding of machine learning research to students, researchers, and practitioners, through comprehensive tutorials by renowned machine learning experts.
=== INVITED SPEAKERS & TOPICS === 1. Benjamin Van Roy <https://web.stanford.edu/~bvr/>(Professor at Stanford University; Research Lead at DeepMind, Mountain View) 2. Kenji Fukumizu <https://www.ism.ac.jp/~fukumizu/> (Professor at The Institute of Statistical Mathematics <http://www.ism.ac.jp/>) 3. Mijung Park <https://privacy-preserving-machine-learning.github.io/> ("Privacy Preserving Machine Learning" Group Leader at Max Planck Institute for Intelligent Systems <https://www.is.mpg.de/>) 4. André Martins <https://andre-martins.github.io/> (Research Scientist at Unbabel <http://unbabel.com/>) 5. Warodom Khamphanchai <https://www.linkedin.com/in/kwarodom/> (Bangkok AI Ambassador at CITY.AI) 6. Prachya Boonkwan <https://thainlpbook.wordpress.com/author/kaamanita/> (Thai Natural Language Processing Researcher at Thailand's National Electronics and Computer Technology Center) 7. Elias Bareinboim <https://causalai.net/> (Assistant Professor at Purdue University) 8. Hung Bui <https://sites.google.com/site/buihhung/> (Director at VinAI Research) The list of invited speakers is still growing, which will be updated on our website <https://www.mlrs.ai/speakers>. The main topics that we cover include - Reinforcement learning - Kernel methods - Causal inference - Probabilistic modeling - Privacy preserving machine learning - Natural language processing - Thai natural language processing - Machine learning in Python (practical sessions) === APPLICATION & PROGRAM === We are inviting applications to participate in the MLRS. DEADLINE: 31st May 2019. Details regarding the application process can be found at https://www.mlrs.ai/participate. 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 (8 days) 2. Access to all lectures (in English). See the schedule at https://www.mlrs.ai/schedule. 3. Poster presentation by participants 4. Two coding sessions 5. Social events (welcome party and banquet) 6. Access to career booths of our valued sponsors ( https://www.mlrs.ai/sponsors). 7. One-day visit to Vidyasirimedhi Institute of Science and Technolog <https://www.vistec.ac.th/>y (VISTEC) in Rayong province, Thailand. Full (tentative) schedule can be found at https://www.mlrs.ai/schedule. A limited number of travel assistance 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 [email protected] for any questions or suggestions. Kind regards, The MLRS 2019 Organizing Team
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