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NIPS
2003
13 years 6 months ago
Large Scale Online Learning
We consider situations where training data is abundant and computing resources are comparatively scarce. We argue that suitably designed online learning algorithms asymptotically ...
Léon Bottou, Yann LeCun
ACCV
2009
Springer
14 years 4 days ago
An Online Framework for Learning Novel Concepts over Multiple Cues
Abstract. We propose an online learning algorithm to tackle the problem of learning under limited computational resources in a teacher-student scenario, over multiple visual cues. ...
Luo Jie, Francesco Orabona, Barbara Caputo
ICML
2006
IEEE
14 years 6 months ago
Learning algorithms for online principal-agent problems (and selling goods online)
In a principal-agent problem, a principal seeks to motivate an agent to take a certain action beneficial to the principal, while spending as little as possible on the reward. This...
Vincent Conitzer, Nikesh Garera
ICML
2010
IEEE
13 years 3 months ago
Implicit Online Learning
Online learning algorithms have recently risen to prominence due to their strong theoretical guarantees and an increasing number of practical applications for large-scale data ana...
Brian Kulis, Peter L. Bartlett
COLT
2006
Springer
13 years 9 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