Date: Monday, December 13th

Times are listed in Eastern Standard Time

Opening Remarks 7:50-8:00
Invited Talk - Robert Williamson: Better 8:00-8:30
Contributed Talk - Wouter Kool: Unbiased Gradient Estimation with Balanced Assignments for MoE 8:30-8:45
Panel - Emtiyaz Khan, Atoosa Kasirzadeh, Suresh Venkatasubramanian, Anna Rogers, Javier Gonzalez 8:45-9:45
Coffee-break 9:45-10:00
Invited Talk - Mihaela Rosca: A story of distributional learning with games 10:00-10:30
Contributed Talk - Francesco Negri: Continual Learning with Memory Cascades 10:30-10:45
Invited Talk - Nyalleng Moorosi: AI Continualism & the Becoming of the Past 10:45-11:15
Spotlight Talks 1 - Imant Daunhawer, Paulo Pirozelli, Ke Wang, Tristan Cinquin, Soufiane Hayou 11:15-11:30
Invited Talk - Tom Griffiths: Metareasoning is important but intractable 11:30-12:00
Spotlight Talks 2 - Amélie Chatelain, Nitya Kasturi, Cian Eastwood, Antoni Caterini, Arno Blaas 12:00-12:15
Lunch Break 12:15-13:00
Poster Session 13:00-14:45
Breakout Discussion 14:15-14:45
Invited Talk - Tina Eliassi-Rad: The Why, How, and When of Representations for Complex Systems 14:45-15:15
Contributed Talk - Chelsea Murray: Addressing Bias in Active Learning with Depth Uncertainty Networks… or Not 15:15-15:30
Invited Talk - Chris Maddison: I Can’t Believe Latent Variable Models Are Not Better 15:30-16:00
Contributed Talk - Benjamin Bloem-Reddy: Beauty in Machine Learning: Fluency and Leaps 16:00-16:15
Coffee Break 16:15-16:30
Invited Talk - Daniel J. McDonald: Your model is beautiful, but does it predict? 16:30-17:00
Awards Session & Closing Remarks 17:00-17:10
Social Town Hall - Come chat to us, give feedback, joint the ICBINB initiative! 17:10-17:40