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cs.LG2013★ 2 cited
Optimal amortized regret in every interval
Rina Panigrahy, Preyas Popat
Consider the classical problem of predicting the next bit in a sequence of bits. A standard performance measure is {\em regret} (loss in payoff) with respect to a set of experts. F…
cs.LG2013★ 1 cited
Fractal structures in Adversarial Prediction
Rina Panigrahy, Preyas Popat
Fractals are self-similar recursive structures that have been used in modeling several real world processes. In this work we study how "fractal-like" processes arise in a predictio…