395 citations · 969 across the 46 of their papers we have counts for
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stat.ME2023★ 2 cited
Robust Quickest Change Detection for Unnormalized Models
Suya Wu, Enmao Diao, Taposh Banerjee +2
Detecting an abrupt and persistent change in the underlying distribution of online data streams is an important problem in many applications. This paper proposes a new robust score…
cs.LG2023★ 7 cited
Pruning Deep Neural Networks from a Sparsity Perspective
Enmao Diao, Ganghua Wang, Jiawei Zhan +3
In recent years, deep network pruning has attracted significant attention in order to enable the rapid deployment of AI into small devices with computation and memory constraints.…
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…