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All publications by Roger Grosse
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Optimizing Neural Networks with Kronecker-factored Approximate Curvature
James Martens and Roger Grosse
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Scaling up Natural Gradient by Sparsely Factorizing the Inverse Fisher Matrix
Roger Grosse and Ruslan Salakhudinov
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Structure Discovery in Nonparametric Regression through Compositional Kernel Search
David Duvenaud, James Lloyd, Roger Grosse, Joshua Tenenbaum and Ghahramani Zoubin
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
Honglak Lee, Roger Grosse, Rajesh Ranganath and Andrew Y. Ng
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009