16 citations · 27 across the 26 of their papers we have counts for
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stat.ML2025
Diffusion-Based Hypothesis Testing and Change-Point Detection
Sean Moushegian, Taposh Banerjee, Vahid Tarokh
Score-based methods have recently seen increasing popularity in modeling and generation. Methods have been constructed to perform hypothesis testing and change-point detection with…
stat.ML2023
Quickest Change Detection for Unnormalized Statistical Models
Suya Wu, Enmao Diao, Taposh Banerjee +2
Classical quickest change detection algorithms require modeling pre-change and post-change distributions. Such an approach may not be feasible for various machine learning models b…
stat.ML2017★ 1 cited
Kiefer Wolfowitz Algorithm is Asymptotically Optimal for a Class of Non-Stationary Bandit Problems
Rahul Singh, Taposh Banerjee
We consider the problem of designing an allocation rule or an "online learning algorithm" for a class of bandit problems in which the set of control actions available at each time…