Approximate Newton-based statistical inference using only stochastic gradients.

arXiv: Learning, (2019)

被引用4|浏览14
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We present a novel inference framework for convex empirical risk minimization, using approximate stochastic Newton steps. The proposed algorithm is based on the notion of finite differences and allows the approximation of a Hessian-vector product from first-order information. In theory, our method efficiently computes the statistical erro...更多

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