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Title: A Function Space View of Bounded Norm Infinite Width ReLU Nets: The Multivariate Case
We give a tight characterization of the (vectorized Euclidean) norm of weights required to realize a function f : Rd → R as a single hidden-layer ReLU network with an unbounded number of units (infinite width), extending the univariate characterization of Savarese et al. (2019) to the multivariate case.  more » « less
Award ID(s):
1764032
NSF-PAR ID:
10167329
Author(s) / Creator(s):
; ; ;
Date Published:
Journal Name:
International Conference on Learning Representations (ICLR 2020)
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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