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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…
cs.LG2025
Tracking Most Significant Shifts in Infinite-Armed Bandits
Joe Suk, Jung-hun Kim
We study an infinite-armed bandit problem where actions' mean rewards are initially sampled from a reservoir distribution. Most prior works in this setting focused on stationary re…