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Consistent Interpolating Ensembles via the Manifold-Hilbert Kernel
Yutong Wang, Clayton D. Scott
Recent research in the theory of overparametrized learning has sought to establish generalization guarantees in the interpolating regime. Such results have been established for a f…
VC dimension of partially quantized neural networks in the overparametrized regime
Yutong Wang, Clayton D. Scott
Vapnik-Chervonenkis (VC) theory has so far been unable to explain the small generalization error of overparametrized neural networks. Indeed, existing applications of VC theory to…
An Exact Solver for the Weston-Watkins SVM Subproblem
Yutong Wang, Clayton D. Scott
Recent empirical evidence suggests that the Weston-Watkins support vector machine is among the best performing multiclass extensions of the binary SVM. Current state-of-the-art sol…
Weston-Watkins Hinge Loss and Ordered Partitions
Yutong Wang, Clayton D. Scott
Multiclass extensions of the support vector machine (SVM) have been formulated in a variety of ways. A recent empirical comparison of nine such formulations [Doǧan et al. 2016] rec…