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Competing with the Empirical Risk Minimizer in a Single Pass

Published on Aug 20, 20152069 Views

Many optimization problems that arise in science and engineering are those in which we only have a stochastic approximation to the underlying objective (e.g. estimation problems such as linear regress

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Competing with the empirical risk minimizer in a single pass00:00
Tradeoffs in large-scale learning00:08
Approaches00:44
Competing with the ERM01:47
Main result03:01
Thanks!03:50