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cs.LG2013★ 11 cited
Large-Scale Learning with Less RAM via Randomization
Daniel Golovin, D. Sculley, H. Brendan McMahan +1
We reduce the memory footprint of popular large-scale online learning methods by projecting our weight vector onto a coarse discrete set using randomized rounding. Compared to stan…
cs.LG2009★ 6 cited
Online Learning of Assignments that Maximize Submodular Functions
Daniel Golovin, Andreas Krause, Matthew Streeter
Which ads should we display in sponsored search in order to maximize our revenue? How should we dynamically rank information sources to maximize value of information? These applica…