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ICML
2000
IEEE
14 years 9 months ago
A Nonparametric Approach to Noisy and Costly Optimization
This paper describes Pairwise Bisection: a nonparametric approach to optimizing a noisy function with few function evaluations. The algorithm uses nonparametric reasoning about si...
Brigham S. Anderson, Andrew W. Moore, David Cohn
CDC
2010
IEEE
154views Control Systems» more  CDC 2010»
13 years 3 months ago
Distributed constrained optimization over noisy networks
In this paper we deal with two problems which are of great interest in the field of distributed decision making and control. The first problem we tackle is the problem of achieving...
Kunal Srivastava, Angelia Nedic, Dusan M. Stipanov...
CORR
2011
Springer
202views Education» more  CORR 2011»
13 years 3 months ago
Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions
We analyze a class of estimators based on a convex relaxation for solving highdimensional matrix decomposition problems. The observations are the noisy realizations of the sum of ...
Alekh Agarwal, Sahand Negahban, Martin J. Wainwrig...
SDM
2007
SIAM
104views Data Mining» more  SDM 2007»
13 years 10 months ago
Boosting Optimal Logical Patterns Using Noisy Data
We consider the supervised learning of a binary classifier from noisy observations. We use smooth boosting to linearly combine abstaining hypotheses, each of which maps a subcube...
Noam Goldberg, Chung-chieh Shan
ISQED
2009
IEEE
112views Hardware» more  ISQED 2009»
14 years 3 months ago
Estimation and optimization of reliability of noisy digital circuits
— With continued scaling, reliability is emerging as a critical challenge for the designers of digital circuits. The challenge stems in part from the lack of computationally ef...
Satish Sivaswamy, Kia Bazargan, Marc D. Riedel