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Some NIPS papers

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This week, Blaise, Katherine, and Zoubin will be presenting some recent NIPS papers. The papers are, by presenter:


L. Charlin, P. Poupart, R. Shioda. Automated Hierarchy Discovery for Planning in Partially Observable Environments based on Charlin’s MPhil thesis


D. Navarro and T. Griffiths. A Nonparametric Bayesian Method for Inferring Features from Similarity Judgments


D. Roy, C. Kemp, V. Mansinghka, J. Tenenbaum. Learning annotated hierarchies from relational data

This talk is part of the Machine Learning Reading Group @ CUED series.

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