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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
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International Conference on Learning Representations (ICLR 2020)
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Sponsoring Org:
National Science Foundation
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