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Efficient Online Learning via Randomized Rounding
Efficient Online Learning Randomized Rounding
2011/7/6
Most online algorithms used in machine learning today are based on variants of mirror descent or follow-the-leader.
Efficient Optimal Learning for Contextual Bandits
Efficient Optimal Learning Contextual Bandits
2011/7/6
We address the problem of learning in an online setting where the learner repeatedly observes features, selects among a set of actions, and receives reward for the action taken.
Computationally efficient algorithms for statistical image processing. Implementation in R
Image analysis signal detection image recon-struction percolation noisy image unsupervised machine learning spatial statistics
2011/3/24
In the series of our earlier papers on the subject, we proposed a novel statistical hypothesis testing method for detection of objects in noisy images. The method uses results from percolation theory ...