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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:

Blaise:

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

Katherine:

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

Zoubin:

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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