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Roger Grosse

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Adversarial Distillation of Bayesian Neural Network Posteriors

Jun 27, 2018
Kuan-Chieh Wang, Paul Vicol, James Lucas, Li Gu, Roger Grosse, Richard Zemel

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Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches

Apr 02, 2018
Yeming Wen, Paul Vicol, Jimmy Ba, Dustin Tran, Roger Grosse

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Understanding Short-Horizon Bias in Stochastic Meta-Optimization

Mar 06, 2018
Yuhuai Wu, Mengye Ren, Renjie Liao, Roger Grosse

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Noisy Natural Gradient as Variational Inference

Feb 26, 2018
Guodong Zhang, Shengyang Sun, David Duvenaud, Roger Grosse

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Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation

Aug 18, 2017
Yuhuai Wu, Elman Mansimov, Shun Liao, Roger Grosse, Jimmy Ba

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On the Quantitative Analysis of Decoder-Based Generative Models

Jun 06, 2017
Yuhuai Wu, Yuri Burda, Ruslan Salakhutdinov, Roger Grosse

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Importance Weighted Autoencoders

Nov 07, 2016
Yuri Burda, Roger Grosse, Ruslan Salakhutdinov

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A Kronecker-factored approximate Fisher matrix for convolution layers

May 23, 2016
Roger Grosse, James Martens

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Optimizing Neural Networks with Kronecker-factored Approximate Curvature

May 04, 2016
James Martens, Roger Grosse

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Statistical Inference, Learning and Models in Big Data

Jan 28, 2016
Beate Franke, Jean-François Plante, Ribana Roscher, Annie Lee, Cathal Smyth, Armin Hatefi, Fuqi Chen, Einat Gil, Alexander Schwing, Alessandro Selvitella, Michael M. Hoffman, Roger Grosse, Dieter Hendricks, Nancy Reid

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