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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