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FOCS
2005
IEEE
14 years 2 months ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys
GECCO
2004
Springer
100views Optimization» more  GECCO 2004»
14 years 2 months ago
Analysis of the (1+1) EA for a Noisy OneMax
Abstract. In practical applications evaluating a fitness function is frequently subject to noise, i. e., the “true fitness” is disturbed by some random variations. Evolutiona...
Stefan Droste
DAC
2006
ACM
14 years 10 months ago
Stochastic variational analysis of large power grids considering intra-die correlations
For statistical timing and power analysis that are very important problems in the sub-100nm technologies, stochastic analysis of power grids that characterizes the voltage fluctua...
Praveen Ghanta, Sarma B. K. Vrudhula, Sarvesh Bhar...
ICMLA
2009
13 years 6 months ago
Exact Graph Structure Estimation with Degree Priors
We describe a generative model for graph edges under specific degree distributions which admits an exact and efficient inference method for recovering the most likely structure. T...
Bert Huang, Tony Jebara
CORR
2002
Springer
166views Education» more  CORR 2002»
13 years 8 months ago
Quantum Time-Space Tradeoffs for Sorting
Abstract: Although a quantum state requires exponentially many classical bits to describe, the laws of quantum mechanics impose severe restrictions on how that state can be accesse...
Hartmut Klauck