Meetup Schedule

Please note this schedule is subject to (small) change. In particular, if you are very interested in watching a tutorial not currently in the schedule, please email us.

All events below marked with an asterisk (*) will be live streams from NeurIPS.

Streams for the events from NeurIPS are available at: https://slideslive.com/neurips/

Addresses:

• Department of Statistics: 24-29 St Giles’, Oxford OX1 3LB
• Department of Engineering (Thom Building): Parks Road, Oxford OX1 3PJ

Monday 9th December. Location: Department of Statistics

• 10.00 - 10.30: Registration and coffee
• 10.30 - 11.00: Welcome
• 11.00 - 12.00: Local keynote: Dino Sejdinovic (large lecture theatre)
• 12.00 - 13.30: Lunch (on your own)
• 13.30 - 15.00: Social event
• 15.00 - 16.00: Unconference organisation
• 16.00 - 16.30: Refreshment break
• 16.30 - 18.30: Tutorials (in parallel): Deep Learning with Bayesian Principles* (large lecture theatre), Human Behaviour Modelling* (small lecture theatre)

Tuesday 10th December. Location: Department of Engineering (Thom Building LR1)

• 10.00 - 12.00: Tutorial: Representation Learning and Fairness
• 12.00 - 13.30: Lunch (on your own)
• 13.30 - 15.30: Unconference (two sessions with break in between)
• 15.30 - 16.20: NeurIPS keynote: Kidd
• 16.30 - 17.30: NeurIPS keynote: Yu*

Wednesday 11th December. Location: Department of Statistics (small lecture theatre)

• 10.00 - 12.00: Tutorial: Reinforcement Learning: Past, Present and Future Perspectives
• 12.00 - 14.00: Lunch (on your own)
• 14.00 - 14.30: Local talk: Tom Rainforth
• 14.30 - 15.30: NeurIPS keynote: Pe’er
• 15.30 - 16.00: Refreshment break
• 16.00 - 16.20: NeurIPS award: Test of Time
• 16.30 - 17.30: NeurIPS keynote: Aguera y Arcas*

Thursday 12th December. Location: Department of Statistics

• 10.00 - 12.00: Tutorial: Interpretable Comparison of Distributions and Models
• 12.00 - 14:00: Lunch (on your own)
• 15.00 - 15.30: Coffee and biscuits
• 15.30 - 16.20: NeurIPS keynote: Bengio
• 16.30 - 17.30: NeurIPS keynote: Dzirasa*

Friday 13th December. Location: Department of Statistics

• 10.00 - 12.00: Tutorial: Efficient Processing of Deep Neural Network
• 12.00 - 14.00: Lunch social (provided)
• 14.00 - 14.30: Local talk: Isaac Dunn
• 14.30 - 15.00: Local talk: Puneet Dokania
• 15.00 - 15.30: Refreshment break
• 15.30 - 17.30: NeurIPS keynote/awards: Heer, best paper awards (exact time TBC)