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» {Algorithmic Minimal Sufficient Statistics: a New Definition
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TSP
2010
13 years 2 months ago
Shrinkage algorithms for MMSE covariance estimation
We address covariance estimation in the sense of minimum mean-squared error (MMSE) when the samples are Gaussian distributed. Specifically, we consider shrinkage methods which are ...
Yilun Chen, Ami Wiesel, Yonina C. Eldar, Alfred O....
STOC
2001
ACM
151views Algorithms» more  STOC 2001»
14 years 7 months ago
On the cell probe complexity of membership and perfect hashing
We study two fundamental static data structure problems, membership and perfect hashing, in Yao's cell probe model. The first space and bit probe optimal worst case upper bou...
Rasmus Pagh
SIAMSC
2008
191views more  SIAMSC 2008»
13 years 7 months ago
ORBIT: Optimization by Radial Basis Function Interpolation in Trust-Regions
Abstract. We present a new derivative-free algorithm, ORBIT, for unconstrained local optimization of computationally expensive functions. A trust-region framework using interpolati...
Stefan M. Wild, Rommel G. Regis, Christine A. Shoe...
DEXA
2009
Springer
153views Database» more  DEXA 2009»
13 years 11 months ago
Three Approximation Algorithms for Energy-Efficient Query Dissemination in Sensor Database System
Abstract. Sensor database is a type of database management system which offers sensor data and stored data in its data model and query languages. In this system, when a user poses ...
Zhao Zhang, Xiaofeng Gao, Xuefei Zhang, Weili Wu, ...
JCSS
2008
138views more  JCSS 2008»
13 years 7 months ago
Reducing mechanism design to algorithm design via machine learning
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a broad class of re...
Maria-Florina Balcan, Avrim Blum, Jason D. Hartlin...