16 citations · 27 across the 26 of their papers we have counts for
34 papers
Score-Based Quickest Change Detection and Fault Identification for Multi-Stream Signals
Wuxia Chen, Sean Moushegian, Vahid Tarokh +1
This paper introduces an approach to multi-stream quickest change detection and fault isolation for unnormalized and score-based statistical models. Traditional optimal algorithms…
Conditional Score Learning for Quickest Change Detection in Markov Transition Kernels
Wuxia Chen, Taposh Banerjee, Vahid Tarokh
We address the problem of quickest change detection in Markov processes with unknown transition kernels. The key idea is to learn the conditional score $\nabla_{\mathbf{y}} \log p(…
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…
Robust Score-Based Quickest Change Detection
Sean Moushegian, Suya Wu, Enmao Diao +3
Methods in the field of quickest change detection rapidly detect in real-time a change in the data-generating distribution of an online data stream. Existing methods have been able…
Large Deviation Analysis of Score-based Hypothesis Testing
Enmao Diao, Taposh Banerjee, Vahid Tarokh
Score-based statistical models play an important role in modern machine learning, statistics, and signal processing. For hypothesis testing, a score-based hypothesis test is propos…
Robust Quickest Change Detection in Non-Stationary Processes
Yingze Hou, Yousef Oleyaeimotlagh, Rahul Mishra +2
Optimal algorithms are developed for robust detection of changes in non-stationary processes. These are processes in which the distribution of the data after change varies with tim…