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Optimal Probability Estimation with Applications to Prediction and Classification
This video was recorded at 26th Annual Conference on Learning Theory (COLT), Princeton 2013. Via a unified viewpoint of probability estimation, classification,and prediction, we derive a uniformly-optimal combined-probability estimator, construct a classifier that uniformly approaches the error of the best possible label-invariant classifier, and improve existing results on pattern prediction and compression....
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