3 papers
cs.LG2019
Adaptive Sequential Machine Learning
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 learni…
math.OC2016
Adaptive Sequential Stochastic Optimization
Craig Wilson, Venugopal Veeravalli, Angelia Nedich
A framework is introduced for sequentially solving convex stochastic minimization problems, where the objective functions change slowly, in the sense that the distance between succ…
cs.LG2015
Adaptive Sequential Optimization with Applications to Machine Learning
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…