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stat.ML2025
An Efficient Variant of One-Class SVM with Lifelong Online Learning Guarantees
Joe Suk, Samory Kpotufe
We study outlier (a.k.a., anomaly) detection for single-pass non-stationary streaming data. In the well-studied offline or batch outlier detection problem, traditional methods such…
stat.ML2025
Mixed-Sample SGD: an End-to-end Analysis of Supervised Transfer Learning
Yuyang Deng, Samory Kpotufe
Theoretical works on supervised transfer learning (STL) -- where the learner has access to labeled samples from both source and target distributions -- have for the most part focus…
stat.ML2025
Distributionally-Constrained Adversaries in Online Learning
Moïse Blanchard, Samory Kpotufe
There has been much recent interest in understanding the continuum from adversarial to stochastic settings in online learning, with various frameworks including smoothed settings p…