23 citations · 29 across the 9 of their papers we have counts for
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cs.LG2019★ 1 cited
Learning The Best Expert Efficiently
Daron Anderson, Douglas J. Leith
We consider online learning problems where the aim is to achieve regret which is efficient in the sense that it is the same order as the lowest regret amongst K experts. This is a…
math.ST2019★ 3 cited
Optimality of the Subgradient Algorithm in the Stochastic Setting
Daron Anderson, Douglas Leith
We show that the Subgradient algorithm is universal for online learning on the simplex in the sense that it simultaneously achieves regret for adversarial costs and $O…