A two-stage symbolic regression plus generative model framework recovers governing interaction terms and forcing in stochastic triad models while accurately predicting statistical moments up to order five.
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TSDR applies doubly robust learning with temporal smoothness regularization to deliver unbiased and low-variance knowledge tracing estimates from selectively observed student data.
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The finite expression method for turbulent dynamics with high-order moment recovery
A two-stage symbolic regression plus generative model framework recovers governing interaction terms and forcing in stochastic triad models while accurately predicting statistical moments up to order five.
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Temporal Smoothness Doubly Robust Learning for Debiased Knowledge Tracing
TSDR applies doubly robust learning with temporal smoothness regularization to deliver unbiased and low-variance knowledge tracing estimates from selectively observed student data.