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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.ML2023
Tracking Most Significant Shifts in Nonparametric Contextual Bandits
Joe Suk, Samory Kpotufe
We study nonparametric contextual bandits where Lipschitz mean reward functions may change over time. We first establish the minimax dynamic regret rate in this less understood set…
stat.ML2020★ 2 cited
Self-Tuning Bandits over Unknown Covariate-Shifts
Joseph Suk, Samory Kpotufe
Bandits with covariates, a.k.a. contextual bandits, address situations where optimal actions (or arms) at a given time , depend on a context , e.g., a new patient's medical…