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» On the Complexity of Function Learning
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159
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IAT
2003
IEEE
15 years 8 months ago
Asymmetric Multiagent Reinforcement Learning
A gradient-based method for both symmetric and asymmetric multiagent reinforcement learning is introduced in this paper. Symmetric multiagent reinforcement learning addresses the ...
Ville Könönen
152
Voted
COLT
2006
Springer
15 years 7 months ago
Online Learning Meets Optimization in the Dual
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
Shai Shalev-Shwartz, Yoram Singer
ML
2007
ACM
131views Machine Learning» more  ML 2007»
15 years 3 months ago
A primal-dual perspective of online learning algorithms
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
Shai Shalev-Shwartz, Yoram Singer
JMLR
2010
82views more  JMLR 2010»
14 years 10 months ago
On Spectral Learning
In this paper, we study the problem of learning a matrix W from a set of linear measurements. Our formulation consists in solving an optimization problem which involves regulariza...
Andreas Argyriou, Charles A. Micchelli, Massimilia...
141
Voted
CIMAGING
2010
165views Hardware» more  CIMAGING 2010»
15 years 3 months ago
Implementation and evaluation of a penalized alternating minimization algorithm for computational DIC microscopy
We present the implementation and evaluation of a penalized alternating minimization (AM) method1 for the computation of a specimen's complex transmittance function (magnitud...
Chrysanthe Preza, Joseph A. O'Sullivan