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JMLR
2008
159views more  JMLR 2008»
13 years 5 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
IAT
2005
IEEE
13 years 11 months ago
Decomposition Techniques for a Loosely-Coupled Resource Allocation Problem
We are interested by contributing to stochastic problems of which the main distinction is that some tasks may create other tasks. In particular, we present a first approach which...
Pierrick Plamondon, Brahim Chaib-draa, Abder Rezak...
STOC
2007
ACM
146views Algorithms» more  STOC 2007»
14 years 5 months ago
Playing games with approximation algorithms
In an online linear optimization problem, on each period t, an online algorithm chooses st S from a fixed (possibly infinite) set S of feasible decisions. Nature (who may be adve...
Sham M. Kakade, Adam Tauman Kalai, Katrina Ligett
APPROX
2006
Springer
89views Algorithms» more  APPROX 2006»
13 years 9 months ago
Online Algorithms to Minimize Resource Reallocations and Network Communication
Abstract. In this paper, we consider two new online optimization problems (each with several variants), present similar online algorithms for both, and show that one reduces to the...
Sashka Davis, Jeff Edmonds, Russell Impagliazzo
STOC
2012
ACM
192views Algorithms» more  STOC 2012»
11 years 7 months ago
Nearly optimal sparse fourier transform
We consider the problem of computing the k-sparse approximation to the discrete Fourier transform of an ndimensional signal. We show: • An O(k log n)-time randomized algorithm f...
Haitham Hassanieh, Piotr Indyk, Dina Katabi, Eric ...