Balancing vectors in the max norm
Combinatorica
Probabilistic construction of deterministic algorithms: approximating packing integer programs
Journal of Computer and System Sciences - 27th IEEE Conference on Foundations of Computer Science October 27-29, 1986
Simulating (logcn)-wise independence in NC
Journal of the ACM (JACM)
On the Fourier spectrum of monotone functions
Journal of the ACM (JACM)
Three theorems regarding testing graph properties
Random Structures & Algorithms
Note: 2-connected graphs with small 2-connected dominating sets
Discrete Mathematics
A Model for Random Random-Walks on Finite Groups
Combinatorics, Probability and Computing
A new average case analysis for completion time scheduling
Journal of the ACM (JACM)
Finding a vector orthogonal to roughly half a collection of vectors
Journal of Complexity
Time series representation: a random shifting perspective
WAIM'13 Proceedings of the 14th international conference on Web-Age Information Management
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The use of randomness is now an accepted tool in Theoretical Computer Science but not everyone is aware of the underpinnings of this methodology in Combinatorics - particularly, in what is now called the probabilistic Method as developed primarily by Paul Erdo&huml;s over the past half century. Here I will explore a particular set of problems - all dealing with “good” colorings of an underlying set of points relative to a given family of sets. A central point will be the evolution of these problems from the purely existential proofs of Erdo&huml;s to the algorithmic aspects of much interest to this audience.