Adaptive Regularization of Weight Vectors

NeurIPS 2009 Koby CrammerAlex KuleszaMark Dredze

We present AROW, a new online learning algorithm that combines several properties of successful : large margin training, confidence weighting, and the capacity to handle non-separable data. AROW performs adaptive regularization of the prediction function upon seeing each new instance, allowing it to perform especially well in the presence of label noise... (read more)

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