146 search results - page 13 / 30 » Online Gradient Descent Learning Algorithms |
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
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...
COLT
2010
Springer
13 years 5 months ago
2010
Springer
We study the regret of an online learner playing a multi-round game in a Banach space B against an adversary that plays a convex function at each round. We characterize the minima...
GIS
2009
ACM
13 years 11 months ago
2009
ACM
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
NIPS
2008
13 years 8 months ago
2008
In this paper we aim to train deep neural networks for rapid visual recognition. The task is highly challenging, largely due to the lack of a meaningful regularizer on the functio...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
In this paper we introduce the first algorithms for efficiently learning a simulation policy for Monte-Carlo search. Our main idea is to optimise the balance of a simulation polic...