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Nyström Regularization for Time Series Forecasting
This paper focuses on learning rate analysis of Nystr\"{o}m regularization with sequential sub-sampling for $\tau$-mixing time series.
Distributed Learning with Dependent Samples
This paper focuses on learning rate analysis of distributed kernel ridge regression for strong mixing sequences.
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