Author

Mihai Cucuringu

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#machine learning Preprint Oct 2026

Causal Lag Structure Discovery in Confounded Time Series via Orthogonalized Adaptive Estimation

Finding which variables cause which others in multivariate time series, and at what lags, is central to science and policy, yet existing methods force a choice between flexible confounder adjustment, data-driven lag selection, and inference that controls the false discovery rate (FDR). ORACLE-VARX does all three in one...

Hong-Qiong Tan, Isaac-Neil Zanoria, James Chen et al. · 0 citations

Preprint Aug 2026

Spectral clustering of network time series via the sample covariance matrix

It is established that spectral clustering of the sample covariance matrix achieves exact recovery of the underlying communities under a stochastic blockmodel even when the adjacency matrix is unobserved.

Brendan Martin, Joshua Agterberg, Mihai Cucuringu et al. · 0 citations