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Neural Networks and Polynomial Regression. Demystifying the Overparametrization Phenomena
Thus a message implied by our results is that parametrizing wide neural networks by the number of hidden nodes is misleading, and a more fitting measure of parametrization complexity is the number of regression coefficients associated with tensorized data.
Optimal multi-asset trading with linear costs: a mean-field approach
Optimal multi-asset trading with Markovian predictors is well understood in the case of quadratic transaction costs, but remains intractable when these costs are $L_1$.
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