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stat.ML2026
Stability beyond Bounded Differences: Sharp Generalization Bounds under Finite Moments
Qianqian Lei, Soham Bonnerjee, Yuefeng Han +1
While algorithmic stability is a central tool for understanding generalization of learning algorithms, existing high-probability guarantees typically rely on uniform boundedness or…
stat.ML2026
Sharp asymptotic theory for Q-learning with LDTZ learning rate and its generalization
Soham Bonnerjee, Zhipeng Lou, Wei Biao Wu
Despite the sustained popularity of Q-learning as a practical tool for policy determination, a majority of relevant theoretical literature deals with either constant ($η_{t}\equiv…
stat.ME2026
Fast localization of anomalous patches in spatial data under dependence
Soham Bonnerjee, Sayar Karmakar, George Michailidis
We propose a scalable, provably accurate method for localizing an unknown number of multiple axis-aligned anomalous patches in spatial data under a general class of spatial depende…