We bound the future loss when predicting any (computably) stochastic sequence online. Solomonoff finitely bounded the total deviation of his universal predictor M from the true d...
In this work we study the computational complexity of a class of grid Monte Carlo algorithms for integral equations. The idea of the algorithms consists in an approximation of the ...
CSP search algorithms are exponential in the worst-case. A trivial upper bound on the time complexity of CSP search algorithms is O∗ (dn ), where n and d are the number of variab...
In property testing, we are given oracle access to a function f, and we wish to test if the function satisfies a given property P, or it is ε-far from having that property. In a...
The choice of the scheduling algorithm is a major design criteria of a switch. Whereas it is known that maximum weight matching algorithms guarantee the stability of an input queu...