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» Random Sampling from Pseudo-Ranked B Trees
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STOC
2009
ACM
136views Algorithms» more  STOC 2009»
14 years 8 months ago
Random walks on polytopes and an affine interior point method for linear programming
Let K be a polytope in Rn defined by m linear inequalities. We give a new Markov Chain algorithm to draw a nearly uniform sample from K. The underlying Markov Chain is the first t...
Ravi Kannan, Hariharan Narayanan
FPL
2006
Springer
147views Hardware» more  FPL 2006»
13 years 11 months ago
Non-Uniform Random Number Generation Through Piecewise Linear Approximations
This paper presents a hardware architecture for non-uniform random number generation, which allows the generator's distribution to be modified at run-time without reconfigura...
David B. Thomas, Wayne Luk
SAGA
2009
Springer
14 years 2 months ago
Bounds for Multistage Stochastic Programs Using Supervised Learning Strategies
We propose a generic method for obtaining quickly good upper bounds on the minimal value of a multistage stochastic program. The method is based on the simulation of a feasible dec...
Boris Defourny, Damien Ernst, Louis Wehenkel
FOCS
2007
IEEE
14 years 2 months ago
Cryptography from Sunspots: How to Use an Imperfect Reference String
The Common Reference String (CRS) model equips all protocol participants with a common string that is sampled from a pre-specified distribution, say the uniform distribution. Thi...
Ran Canetti, Rafael Pass, Abhi Shelat
AMAI
2005
Springer
13 years 7 months ago
Robust inference of trees
Abstract. This paper is concerned with the reliable inference of optimal treeapproximations to the dependency structure of an unknown distribution generating data. The traditional ...
Marco Zaffalon, Marcus Hutter