DRIO adds worst-case Wasserstein regularization to time series imputation, yielding a tractable adversarial surrogate and alternating algorithm that improves robustness under missingness.
Attention based spatial- temporal graph convolutional networks for traffic flow forecasting.Proceedings of the AAAI Conference on Artificial Intelligence, 33(01):922–929, Jul
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Multivariate Time Series Data Imputation via Distributionally Robust Regularization
DRIO adds worst-case Wasserstein regularization to time series imputation, yielding a tractable adversarial surrogate and alternating algorithm that improves robustness under missingness.