In an online convex optimization problem a decision-maker makes a sequence of decisions, i.e., chooses a sequence of points in Euclidean space, from a fixed feasible set. After ea...
The rise of computer-based online learning represents either the most exciting and versatile educational technology ever or the first stage of an unrelenting boom and bust cycle (...
We consider the problem of choosing, sequentially, a map which assigns elements of a set A to a few elements of a set B. On each round, the algorithm suffers some cost associated ...
Alexander Rakhlin, Jacob Abernethy, Peter L. Bartl...
We examine a general Bayesian framework for constructing on-line prediction algorithms in the experts setting. These algorithms predict the bits of an unknown Boolean sequence usin...
The past two years have been a turbulent time for the New Economy generally – and for the digital content industry in particular. In the wake of the dot.com and telecoms crashes...
Kornelia van der Beek, Paula M. C. Swatman, Cornel...