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Shanyun Gao

2 accepted papers

2025

Causal Discovery-Driven Change Point Detection in Time Series

AISTATS 2025poster

Change point detection in time series aims to identify moments when the probability distribution of time series changes. It is widely applied in many areas, such as human activity sensing and medical science. In the context of multivariate time series, this typically involves examining the joint dis…

Cited by 0SourceScholar
2023

Causal Discovery in Semi-Stationary Time Series

NeurIPS 2023poster

Discovering causal relations from observational time series without making the stationary assumption is a significant challenge. In practice, this challenge is common in many areas, such as retail sales, transportation systems, and medical science. Here, we consider this problem for a class of non-s…