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NYU Course on Statistical and Mathematical Methodsby Professor SR Varadham. Course slides are available at http://www.math.nyu.edu/faculty/varadhan/Fall2013/
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Inferning 2013
There are strong interactions between learning algorithms which estimate the parameters of a model from data, and inference algorithms which use a model to make predictions about data. Understanding the intricacies of these interactions is crucial for advancing the state-of-the-art on real-world tasks in natural language processing, computer vision, computation biology, etc. Yet, many facets of these interactions remain unknown. In this workshop, we study the interactions between inference and learning using two reciprocating perspectives.
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NAACL 2013
The 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
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