Towards stability and optimality in stochastic gradient descent

10 May 2015Panos ToulisDustin TranEdoardo M. Airoldi

Iterative procedures for parameter estimation based on stochastic gradient descent allow the estimation to scale to massive data sets. However, in both theory and practice, they suffer from numerical instability... (read more)

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