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We propose Information Theoretic-Learning (ITL) divergence measures for variational regularization of neural networks.
“On measures of entropy and information,”
ALFRPED Rrnyi, · 1961
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“Monte carlo sampling methods using markov chains and their applications,”
W Keith Hastings, · 1970
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Density estimation for statistics and data analysis
Bernard W Silverman, · 1986
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“Gradient-based learning applied to document recognition,”
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner, · 1998
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“Information theoretic learning,”
Jose C Principe, Dongxin Xu, and John Fisher, · 2000
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“A kernel method for the two-sample-problem,”
Arthur Gretton, Karsten M Borgwardt, Malte Rasch, Bernhard Schölkopf, and Alex J Smola, · 2006
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“A fast learning algorithm for deep belief nets,”
Geoffrey E Hinton, Simon Osindero, and Yee-Whye Teh, · 2006
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Information theoretic learning: Renyi’s entropy and kernel perspectives
Jose C Principe, · 2010
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“Better mixing via deep representations,”
Yoshua Bengio, Grégoire Mesnil, Yann Dauphin, and Salah Rifai, · 2012
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“Auto-encoding variational bayes,”
Diederik P Kingma and Max Welling, · 2013
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“Deep generative stochastic networks trainable by backprop,”
Yoshua Bengio, Eric Thibodeau-Laufer, Guillaume Alain, and Jason Yosinski, · 2013
Cited alongside, same era.
“Dropout: A simple way to prevent neural networks from overfitting,”
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov, · 2014
Cited alongside, same era.
“Generative adversarial nets,”
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio, · 2014
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“Deep learning,”
Ian Goodfellow, Aaron Courville, and Yoshua Bengio, · 2015
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“Deep convolutional inverse graphics network,”
Tejas D Kulkarni, Will Whitney, Pushmeet Kohli, and Joshua B Tenenbaum, · 2015
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“Deep generative image models using a? laplacian pyramid of adversarial networks,”
Emily L Denton, Soumith Chintala, Rob Fergus, et al., · 2015
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Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow, · 2015
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“Stochastic backpropagation and approximate inference in deep generative models,”
Danilo Jimenez Rezende, Shakir Mohamed, and Daan Wierstra, · 2014
Cited alongside, same era.
Yujia Li, Kevin Swersky, and Richard Zemel, · 2015
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