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Second-order methods

Use second-order statistics to process data.

Papers

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Showing 131–140 of 181 papers

TitleStatusHype
Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles—0
Nesterov's Acceleration For Approximate Newton—0
Nestrov's Acceleration For Second Order Method—0
Newton methods based convolution neural networks using parallel processing—0
Newton-Stein Method: An optimization method for GLMs via Stein's Lemma—0
Newton-Stein Method: A Second Order Method for GLMs via Stein's Lemma—0
On backpropagating Hessians through ODEs—0
Online Second Order Methods for Non-Convex Stochastic Optimizations—0
On the efficiency of Stochastic Quasi-Newton Methods for Deep Learning—0
On the importance of initialization and momentum in deep learning—0
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