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APPROX
2006
Springer
114views Algorithms» more  APPROX 2006»
15 years 1 months ago
Stochastic Combinatorial Optimization with Controllable Risk Aversion Level
Anthony Man-Cho So, Jiawei Zhang, Yinyu Ye
ATAL
2008
Springer
15 years 3 days ago
An approach to online optimization of heuristic coordination algorithms
Due to computational intractability, large scale coordination algorithms are necessarily heuristic and hence require tuning for particular environments. In domains where character...
Jumpol Polvichai, Paul Scerri, Michael Lewis
89
Voted
CDC
2010
IEEE
141views Control Systems» more  CDC 2010»
14 years 5 months ago
Hybrid moment computation algorithm for biochemical reaction networks
Moment computation is essential to the analysis of stochastic kinetic models of biochemical reaction networks. It is often the case that the moment evolution, usually the first and...
Yun-Bo Zhao, Jongrae Kim, João Pedro Hespan...
ANOR
2010
112views more  ANOR 2010»
14 years 8 months ago
Online stochastic optimization under time constraints
This paper considers online stochastic optimization problems where uncertainties are characterized by a distribution that can be sampled and where time constraints severely limit t...
Pascal Van Hentenryck, Russell Bent, Eli Upfal
ML
2007
ACM
192views Machine Learning» more  ML 2007»
14 years 9 months ago
Annealing stochastic approximation Monte Carlo algorithm for neural network training
We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
Faming Liang