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cs.LG2025
The Challenger: When Do New Data Sources Justify Switching Machine Learning Models?
Vassilis Digalakis, Christophe Pérignon, Sébastien Saurin +1
Organizations often have an incumbent predictive model in production when new data sources become available. Because historical training data lack the new features, a challenger mo…
cs.LG2025★ 1 cited
Balancing optimism and pessimism in offline-to-online learning
Flore Sentenac, Ilbin Lee, Csaba Szepesvari
We consider what we call the offline-to-online learning setting, focusing on stochastic finite-armed bandit problems. In offline-to-online learning, a learner starts with offline d…