Some NIPS papers
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If you have a question about this talk, please contact frederik@ofb.net.
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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