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Variable Metric Stochastic Approximation Theory

Sunehag, Peter; Trumpf, Jochen; Vishwanathan, S.V.N.; Schraudolph, Nic

Description

We provide a variable metric stochastic approximation theory. In doing so, we provide a convergence theory for a large class of online variable metric methods including the recently introduced online versions of the BFGS algorithm and its limited-memory LBFGS variant. We also discuss the implications of our results for learning from expert advice.

CollectionsANU Research Publications
Date published: 2009
Type: Conference paper
URI: http://hdl.handle.net/1885/51403
Source: Proceedings of International Conference on Artificial Intelligence and Statistics (AISTATS 2009)

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