Our results provide a novel inquiry into generalized linear contextual bandits with arbitrary action sets, which include several bandits setting as special cases and thus shed light on ...

We consider the estimation of a random vector observed through a linear transform followed by a componentwise probabilistic measurement channel. Although such linear mixing estimation problems are ...

A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-convex penalties.