General school schedule
8:00-10:00 UTC — Morning slot #1 10:00-10:30 UTC — Break 10:30-12:30 UTC — Morning slot #2 12:30-13:00 UTC — Lunch break 13:00-15:00 UTC — After lunch slot #1 15:00-15:30 UTC — Break 15:30-17:30 UTC — After lunch slot #2 Please pay attention that we use UTC Time. Lviv Data Science Summer School 2020 Schedule The schedule is subject to change.- Monday (20 July)
- 8:00-8:30 UTC — Opening session
- 8:30-10:00 UTC — Keynote: Causal Inference, Sebastian Weichwald
- 10:30-12:30 UTC — Machine Teaching, Adish Singla
- 13:00-15:00 UTC — Introduction to Bayesian modeling- Part 1, Kamil Dedecius
- 15:30-17:30 UTC — Introduction to Bayesian modeling – Part 2, Kamil Dedecius
- Tuesday (21 July)
- 8:00-10:00 UTC — Graph Neural Networks – Part 1, Oleksandr Pryymak
- 10:30-12:30 UTC — Graph Neural Networks – Part 2, Oleksandr Pryymak
- 13:00-15:00 UTC — Introduction to Bayesian modeling – Part 3, Kamil Dedecius
- 15:30-17:30 UTC — Introduction to Bayesian modeling – Part 4, Kamil Dedecius
- Wednesday (22 July):
- 8:00-10:00 UTC — Fundamentals of Causal Learning – Part 1, Marharyta Aleksandrova
- 10:30-12:30 UTC — Fundamentals of Causal Learning – Part 2, Marharyta Aleksandrova
- 13:00-15:00 UTC — Machine Learning in Healthcare – Part 1, Igor Koval
- 15:30-17:30 UTC — Machine Learning in Healthcare – Part 2, Igor Koval
- Thursday (23 July):
- 8:00-10:00 UTC — Game Theory and Applications – Part 1, Olexii Ignatenko
- 10:30-12:30 UTC — Game Theory and Applications – Part 2, Olexii Ignatenko
- 13:00-15:00 UTC — Multi-agent Reinforcement Learning – Part 1, Goran Radanović
- 15:30-17:30 UTC — Multi-agent Reinforcement Learning – Part 2, Goran Radanović
- Friday (24 July):
- 8:00-10:00 UTC — Game Theory and Applications – Part 3, Olexii Ignatenko
- 10:30-12:30 UTC — Game Theory and Applications – Part 4, Olexii Ignatenko
- 13:00-15:00 UTC — Fairness in Machine Learning – Part 1, Novi Quadrianto
- 15:30-17:30 UTC — Fairness in Machine Learning – Part 2, Novi Quadrianto
- Saturday (25 July) – Day off
- Sunday (26 July) – Day off
- Monday (27 July)
- 8:00-10:00 UTC — Machine Learning for Financial Data Structures – Part 1, Alexandr Honchar
- 10:30-12:30 UTC — Machine Learning for Financial Data Structures – Part 2, Alexandr Honchar
- 13:00-15:00 UTC — Deep Learning for Audio – Part 1, Taras Sereda
- 15:30-17:30 UTC — Deep Learning for Audio Part 2, Taras Sereda
- Tuesday (28 July)
- 8:00-10:00 UTC — Machine Learning for Financial Data Structures – Part 3, Alexandr Honchar
- 10:30-12:30 UTC — Machine Learning for Financial Data Structures – Part 4, Alexandr Honchar
- 13:00-15:00 UTC — Deep Learning for Audio – Part 3, Taras Sereda
- 15:30-17:30 UTC — Deep Learning for Audio – Part 4, Taras Sereda
- Wednesday (29 July):
- 8:00-10:00 UTC — Introduction to Probabilistic Programming for Scientific Discovery – Part 1, Ludger Pähler
- 10:30-12:30 UTC — Introduction to Probabilistic Programming for Scientific Discovery – Part 2, Ludger Pähler
- 13:00-15:00 UTC
- 15:30-17:30 UTC — (TBA)
- Thursday (30 July):
- 8:00-10:00 UTC — Introduction to Probabilistic Programming for Scientific Discovery – Part 3, Ludger Pähler
- 10:30-12:30 UTC — Introduction to Probabilistic Programming for Scientific Discovery – Part 4, Ludger Pähler
- 13:00-15:00 UTC — Self-disclosure 101. Building trust with users of autonomous systems, Nikita Lukianets
- 16:00-17:30 UTC — Panel discussion (“AI fairness and non-discrimination”), Nikita Lukianets
- Friday (31 July) :
- 8:00-10:00 UTC — Ensemble learning, the closer look-Part 1, Dmytro Fishman
- 10:30-12:30 UTC — Ensemble learning, the closer look-Part 2, Dmytro Fishman
- 13:00-15:00 UTC — Deep Learning for Object Detection, Alexander Zarichkovyi