Active learning is defined by contrast to the passive model of supervised learning where all the labels for learning are obtained without reference to the learning algorithm, while... Watch Video

The great promise of active learning is that via interaction the number of samples required can be reduced to logarithmic in the number required for standard batch supervised learning... Watch Video

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Given only a metric between points, how quickly can the nearest neighbor of a point be found In the worst case, this time is O(n). When these points happen to obey a dimensionality... Watch Video

When a learning algorithm produces a classifier, a natural question to ask is "How well will it do in the future" To make statements about the future given the past, some... Watch Video

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Learning from user feedback well requires solving several problems simultaneously:\\ {a) Dealing with the scale of user feedback, which is often several orders of magnitude larger... Watch Video

This tutorial is about learning through exploration. The goal is to learn how to make decisions in partial feedback settings where an agent repeatedly observes some information,... Watch Video

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