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JMLR
2008
159views more  JMLR 2008»
13 years 8 months ago
Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies
When monitoring spatial phenomena, which can often be modeled as Gaussian processes (GPs), choosing sensor locations is a fundamental task. There are several common strategies to ...
Andreas Krause, Ajit Paul Singh, Carlos Guestrin
APPROX
2007
Springer
87views Algorithms» more  APPROX 2007»
14 years 19 days ago
Stochastic Steiner Tree with Non-uniform Inflation
We study the Steiner Tree problem in the model of two-stage stochastic optimization with non-uniform inflation factors, and give a poly-logarithmic approximation factor for this pr...
Anupam Gupta, MohammadTaghi Hajiaghayi, Amit Kumar
IOR
2010
71views more  IOR 2010»
13 years 5 months ago
Stochastic Root Finding and Efficient Estimation of Convex Risk Measures
Reliable risk measurement is a key problem for financial institutions and regulatory authorities. The current industry standard Value-at-Risk has several deficiencies. Improved ri...
Jörn Dunkel, Stefan Weber
CP
2007
Springer
14 years 2 months ago
An Integrated White+Black Box Approach for Designing and Tuning Stochastic Local Search
Abstract. Stochastic Local Search (SLS) is a simple and effective paradigm for attacking a variety of Combinatorial (Optimization) Problems (COP). However, it is often non-trivial...
Steven Halim, Roland H. C. Yap, Hoong Chuin Lau
IJCAI
1997
13 years 10 months ago
Mini-Buckets: A General Scheme for Generating Approximations in Automated Reasoning
The class of algorithms for approximating reasoning tasks presented in this paper is based on approximating the general bucket elimination framework. The algorithms have adjustabl...
Rina Dechter