This is an informal meeting revolving around the topic of class imbalance in machine learning. Anybody who is interested is welcome to join!
9:30-10:30am: Emanuele Francazi – A theoretical analysis of the learning dynamics under class imbalance (petit Amphi)
10:30-11:30am: Stefano Sarao-Mannelli – Bias-inducing geometries: exactly solvable data model with fairness implications (petit Amphi)
11:30-12:30am: Brainstorming (petit Amphi)
14:00-15:00 pm: Mauro Pastore – Restoring balance: principled under/oversampling of data for optimal classification (petit Amphi)
15:00-16:00 pm: Francesco Saverio Pezzicoli – Anomaly-Detection Class Imbalance in Exactly Solvable Models (petit Amphi)
16:00-17:00 Brainstorming (petit Amphi)