179 citations · 294 across the 16 of their papers we have counts for
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stat.ML2016★ 1 cited
Nesterov's Accelerated Gradient and Momentum as approximations to Regularised Update Descent
Aleksandar Botev, Guy Lever, David Barber
We present a unifying framework for adapting the update direction in gradient-based iterative optimization methods. As natural special cases we re-derive classical momentum and Nes…
stat.ML2016★ 2 cited
Dealing with a large number of classes -- Likelihood, Discrimination or Ranking?
David Barber, Aleksandar Botev
We consider training probabilistic classifiers in the case of a large number of classes. The number of classes is assumed too large to perform exact normalisation over all classes.…