Computer Vision and Image Understanding
On-line learning with linear loss constraints
Information and Computation
Information, Divergence and Risk for Binary Experiments
The Journal of Machine Learning Research
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The use of highly expanding bipartite multigraphs (called dispersers) to reduce greatly the error of probabilistic algorithms at the cost of few additional random bits is treated. Explicit constructions of such graphs are generalized and used to obtain ...