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stat.ML2019★ 9 cited
Kernel Mode Decomposition and programmable/interpretable regression networks
Houman Owhadi, Clint Scovel, Gene Ryan Yoo
Mode decomposition is a prototypical pattern recognition problem that can be addressed from the (a priori distinct) perspectives of numerical approximation, statistical inference a…
stat.ML2007★ 4 cited
Learning from dependent observations
Ingo Steinwart, Don Hush, Clint Scovel
In most papers establishing consistency for learning algorithms it is assumed that the observations used for training are realizations of an i.i.d. process. In this paper we go far…