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Probabilistic generative models provide a powerful framework for representing data that avoids the expense of manual annotation typically needed by discriminative approaches.
A class of statistics with asymptotically normal distribution
W. Hoeffding · 1948
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Hilbert space embeddings and metrics on probability measures
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Permutation tests for equality of distributions in high-dimensional settings
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A kernel method for the two-sample-problem
A. Gretton, K. M. Borgwardt, M. Rasch, B. Schölkopf, and A. J. Smola · 2006
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A fast learning algorithm for deep belief nets
G. Hinton, S. Osindero, and Y.-W. Teh · 2006
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Kernel measures of conditional dependence
K. Fukumizu, A. Gretton, X. Sun, and B. Schölkopf · 2008
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Learning deep architectures for AI
Y. Bengio · 2009
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Deep Boltzmann machines
R. Salakhutdinov and G. E. Hinton · 2009
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Approximation theorems of mathematical statistics , volume 162
R. J. Serfling · 2009
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The neural autoregressive distribution estimator
H. Larochelle and I. Murray · 2011
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Imagenet classification with deep convolutional neural networks
Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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Auto-encoding variational Bayes
D. P. Kingma and M. Welling · 2014
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Semi-supervised learning with deep generative models
D. P. Kingma, S. Mohamed, D. J. Rezende, and M. Welling · 2014
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A low variance consistent test of relative dependency
W. Bounliphone, A. Gretton, A. Tenenhaus, and M. B. Blaschko · 2015
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Training generative neural networks via maximum mean discrepancy optimization
G. K. Dziugaite, D. M. Roy, and Z. Ghahramani · 2015
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On estimating L 2 2 L_{2}^{2} divergence
A. Krishnamurthy, K. Kandasamy, B. Póczos, and L. A. Wasserman · 2015
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A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Deep generative stochastic networks trainable by backprop
Y. Bengio, E. Thibodeau-Laufer, G. Alain, and J. Yosinski · 2014
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A kernel two-sample test
A. Gretton, K. M. Borgwardt, M. J. Rasch, B. Schölkopf, and A. Smola
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Optimal kernel choice for large-scale two-sample tests
A. Gretton, D. Sejdinovic, H. Strathmann, S. Balakrishnan, M. Pontil, K. Fukumizu, and B. K. Sriperumbudur
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M-statistic for kernel change-point detection
S. Li, Y. Xie, H. Dai, and L. Song
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Generative moment matching networks
Y. Li, K. Swersky, and R. Zemel
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Statistical model criticism using kernel two sample tests
J. R. Lloyd and Z. Ghahramani · 2015
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The variational fair auto encoder
C. Louizos, K. Swersky, Y. Li, M. Welling, and R. Zemel · 2016
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