Adaptive Sequential Machine Learning

no code implementations • 4 Apr 2019 • Craig Wilson, Yuheng Bu, Venugopal Veeravalli

A framework previously introduced in [3] for solving a sequence of stochastic optimization problems with bounded changes in the minimizers is extended and applied to machine learning problems such as regression and classification.

BIG-bench Machine Learning Model Selection +1

Adaptive Sequential Optimization with Applications to Machine Learning

no code implementations • 24 Sep 2015 • Craig Wilson, Venugopal V. Veeravalli

A framework is introduced for solving a sequence of slowly changing optimization problems, including those arising in regression and classification applications, using optimization algorithms such as stochastic gradient descent (SGD).

BIG-bench Machine Learning General Classification