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ML
1998
ACM
102views Machine Learning» more  ML 1998»
13 years 10 months ago
Statistical Mechanics of Online Learning of Drifting Concepts: A Variational Approach
We review the application of statistical mechanics methods to the study of online learning of a drifting concept in the limit of large systems. The model where a feed-forward netwo...
Renato Vicente, Osame Kinouchi, Nestor Caticha
CDC
2009
IEEE
119views Control Systems» more  CDC 2009»
14 years 3 months ago
On-line adaptive optimal timing control of switched systems
Abstract— In this paper we consider the problem of optimizing over the switching times for a multi-modal dynamic system when the complete cost-to-go is not available. The instant...
Xu Chu Ding, Yorai Wardi, Magnus Egerstedt
COLT
2010
Springer
13 years 8 months ago
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
We present a new family of subgradient methods that dynamically incorporate knowledge of the geometry of the data observed in earlier iterations to perform more informative gradie...
John Duchi, Elad Hazan, Yoram Singer
NIPS
2001
13 years 11 months ago
A General Greedy Approximation Algorithm with Applications
Greedy approximation algorithms have been frequently used to obtain sparse solutions to learning problems. In this paper, we present a general greedy algorithm for solving a class...
T. Zhang