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All publications by James Martens
authors venues years

**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

**On the importance of initialization and momentum in deep learning**

*Ilya Sutskever*, *James Martens*, *George Dahl* and *Geoffrey Hinton*

Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013

**On the Representational Efficiency of Restricted Boltzmann Machines**

*James Martens*, *Arkadev Chattopadhya*, *Toniann Pitassi* and *Richard Zemel*

Advances in Neural Information Processing Systems 26, 2013

**Estimating the Hessian by Back-propagating Curvature**

*James Martens*, *Ilya Sutskever* and *Kevin Swersky*

Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

**Generating Text with Recurrent Neural Networks **

*Ilya Sutskever*, *James Martens* and *Geoffrey E. Hinton*

Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011

**Learning Recurrent Neural Networks with Hessian-Free Optimization **

*James Martens* and *Ilya Sutskever*

Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011

**Learning the Linear Dynamical System with ASOS**

*James Martens*

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

**Deep learning via Hessian-free optimization**

*James Martens*

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

**Parallelizable Sampling of Markov Random Fields**

*James Martens* and *Ilya Sutskever*

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010