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Abstract: This article investigates adaptive dynamic programming (ADP)-based optimal control issue of nonlinear stochastic systems with asymmetric input constraints. The solution starts with ...
We present a group lasso procedure for generalized linear models (GLMs) and we study the properties of this estimator applied to sparse high-dimensional GLMs. Under general conditions on the ...
A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-convex penalties.
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