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The talk introduces a new framework for learning probability density functions by assessing their performance against a set of 'test functions'. A theoretical analysis suggests that... Watch Video
Consider the task of clustering university web pages based on the graph of links between these pages. Can clusters of "functionally similar" pages be detected from just... Watch Video
We consider the situation in which there is a basic learning task but different sub-tasks define different data generating distributions. Examples include learning to identify spam... Watch Video
Machine learning enjoys a deep and powerful theory that has led to a wide variety of highly successful practical tools. However, most of this theory is developed under some simplifying... Watch Video
I will present a formal framework for transfer learning and investigate under which conditions is it possible to provide performance guarantees for such scenarios. I will address... Watch Video
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