You must register to attend using Eventbrite. Welcoming coffee and poster session/social will happen on You will receive the Zoom and links at the email that you used to register on Eventbrite – check your email!

08:30-09:00Welcome social
09:00-09:15Opening remarksCourtney PaquetteIn-person/Zoom
09:15-10:00Keynote talk 1Pablo Samuel CastroIn-person/Zoom
10:00-10:45Poster spotlights:
1) Aggregating From Multiple Target-Shifted Sources (Changjian Shui)
2) Deep Reinforcement Learning at the Edge of the Statistical Precipice (Rishabh Agarwal)
3) Typing assumptions improve identification in causal discovery (Philippe Brouillard)
4) On the Limits of Algorithmic Counting and Out-of-Distribution Generalization (Martin Weiss)
11:00-11:45Keynote talk 2Tegan MaharajIn-person/Zoom
11:45-12:30Poster spotlights:
1) Improving Fairness in Heterogeneous Federated Learning (Shaoxiang Qin)
2) Mixture-based Feature Space Learning for Few-shot Image Classification (Arman Afrasiyabi)
3) Sequential Pipeline Optimization: Bandits-driven Exploration using a Collaborative Filtering Representation (Maxime Heuillet)
4) Task-Assisted GAN for resolution enhancement, quality improvement and modality translation in fluorescence microscopy (Catherine Bouchard)
12:30-14:00Lunch break
14:00-14:45Keynote talk 3Elizabeth PatitsasIn-person/Zoom
14:45-15:30Poster spotlights:
1) Q-Layer: Latent Space Constraints for Robust Convolutional Neural Network (Sirui Song)
2) CARL: Conditional value-at-risk Adversarial Reinforcement Learning (Mathieu Godbout)
3) Parallel Gaussian Process-Based Bayesian Optimization for Multiple Cortical Array Neuroprosthetic Control (Julien Rimok)
4) SESNO: Sample Efficient Social Navigation from Observation (Bobak H Baghi)