Schedule and Accepted Papers

Tim​e	Talk Title	Speakers
9:00-9:15	Introduction	Ryan Beal
9:15-9:45	Valuing Sports Actions and Players with Inverse Reinforcement Learning	Yudong Luo and Oliver Schulte
9:45-10:15	PuckNet: Estimating hockey puck location from broadcast video	Kanav Vats, William McNally, Chris Dulhanty, Zhong Qiu Lin, David A Clausi and John Zelek
10:15-10:45	Learning of Evaluation Function in Digital Curling Considering the Probability of Scores at Each End	Kotaro Ataka, Wataru Noguchi, Hiroyuki Iizuka and Masahito Yamamoto
10:45-11:00	Coffee Break and Posters	N/A
11:00-11:45	Keynote 1 - Dynamic analysis of team strategy in professional soccer	Laurie Shaw (Harvard)
11:45-12:15	Interpretable Prediction of Goals in Soccer	Tom Decroos and Jesse Davis
12:15-12:45	Basketball strategy design: a simulation approach	Guilherme Otranto, Leonardo Lamas and Junior Barrera
12:45-13:45	Lunch Break and Posters	N/A
13:45-14:15	Valuing On-the-Ball Actions in Soccer: A Critical Comparison of xT and VAEP	Maaike Van Roy, Pieter Robberechts, Tom Decroos and Jesse Davis
14:15-15:00	Keynote 2 - Interactive Sports Analytics	Patrick Lucey (STATSPerform)
15:00-15:30	Learning Contextualized Player Representations with A Variational Hierarchical Encoder	Guiliang Liu and Oliver Schulte
15:30-16:00	Coffee Break and Posters	N/A
16:00-16:30	Keynote 3 - Real-Time Sports Analytics	Mehrsan Javan (Sportloqiq)
16:30-17:15	Q&A Panel Session	Chair - Tim Swartz ​Panel - TBC
17:15-17:30	Closing Remarks	Ryan Beal
17:30-Onwards	Networking Drinks - "The Irish Pub"	N/A

*Please note that this may be subject to change

---

Accepted Papers

Presentations:
(click to download file)

1. Basketball strategy design: a simulation approach - Guilherme Otranto, Leonardo Lamas and Junior Barrera
2. Valuing Sports Actions and Players with Inverse Reinforcement Learning - Yudong Luo and Oliver Schulte
3. PuckNet: Estimating hockey puck location from broadcast video - Kanav Vats, William McNally, Chris Dulhanty, Zhong Qiu Lin, David A Clausi and John Zelek
4. Learning Contextualized Player Representations with A Variational Hierarchical Encoder - Guiliang Liu and Oliver Schulte
5. Valuing On-the-Ball Actions in Soccer: A Critical Comparison of xT and VAEP - Maaike Van Roy, Pieter Robberechts, Tom Decroos and Jesse Davis
6. Interpretable Prediction of Goals in Soccer - Tom Decroos and Jesse Davis
7. Learning of Evaluation Function in Digital Curling Considering the Probability of Scores at Each End - Kotaro Ataka, Wataru Noguchi, Hiroyuki Iizuka and Masahito Yamamoto

Posters:

1. Challenges and opportunities for computer vision in real-life soccer analytics - Neha Bhargava and Fabio Cuzzolin
2. Pass in Human Style: Learning Soccer Game Patterns from Spatiotemporal Data - Victor Khaustov, Georgii Mola Bogdan and Maxim Mozgovoy
3. Learning Believable Player Movement Patterns from Human Data in a Soccer Game - Victor Khaustov and Maxim Mozgovoy
4. The Data Gap in Sports Analytics and How to Close It - Alon Harell and Ivan V. Bajic
5. Towards Automated Swimming Analytics Using Deep Neural Networks - Timothy Woinoski, Alon Harell and Ivan Bajić