The board game FragmindTM poses the following problem: The player has to reconstruct an (unknown) string s over the alphabet . To this end, the game reports the following informati...
For several NP-hard network design problems, the best known approximation algorithms are remarkably simple randomized algorithms called Sample-Augment algorithms in [11]. The algor...
We study the round complexity of two-party protocols for generating a random nbit string such that the output is guaranteed to have bounded bias (according to some measure) even i...
Language learning from positive data in the Gold model of inductive inference is investigated in a setting where the data can be modeled as a stochastic process. Specifically, the...
In 1998, Impagliazzo and Wigderson [IW98] proved a hardness vs. randomness tradeoff for BPP in the uniform setting, which was subsequently extended to give optimal tradeoffs for t...