Author

M. Dinh

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#machine learning Preprint Sep 2026

Accelerated Algorithm for Sparse Regularized Partial Optimal Transport

Partial Optimal Transport (POT) extends the classical optimal transport problem by relaxing the strict mass conservation constraint, enabling its use in a wide range of real-world applications. In many of these settings, sparse transport plans are preferred for their interpretability and computational benefits. While s...

K. Nguyen, D. T. Nguyen, Thong Huynh et al. · 0 citations

#large language models Review Open access Sep 2026

REIGN: Regime-Enhanced Intelligent Granger Network for Nonstationary Causal Discovery

Causal discovery in nonstationary multivariate financial time series is a fundamental challenge. Classical algorithms, such as Peter–Clark (PC) algorithm and Peter–Clark momentary conditional independence (PCMCI+), assume stationarity and fail in realworld environments characterized by market regime shifts and structur...

Quang-Vinh Dang, M. Dinh, Dat Le et al. · Journal of Data Science and... · 0 citations