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[1] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[2] Trevor Darrell,et al. Adversarial Feature Learning , 2016, ICLR.
[3] Max Welling,et al. Improving Variational Auto-Encoders using Householder Flow , 2016, ArXiv.
[4] Ryan P. Adams,et al. Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks , 2015, ICML.
[5] Michael I. Jordan,et al. Variational Bayesian Inference with Stochastic Search , 2012, ICML.
[6] Dustin Tran,et al. Deep and Hierarchical Implicit Models , 2017, ArXiv.
[7] Julien Cornebise,et al. Weight Uncertainty in Neural Networks , 2015, ArXiv.
[8] Le Song,et al. Provable Bayesian Inference via Particle Mirror Descent , 2015, AISTATS.
[9] Masatoshi Uehara,et al. Generative Adversarial Nets from a Density Ratio Estimation Perspective , 2016, 1610.02920.
[10] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[11] Karol Gregor,et al. Neural Variational Inference and Learning in Belief Networks , 2014, ICML.
[12] Dilin Wang,et al. Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm , 2016, NIPS.
[13] Shakir Mohamed,et al. Learning in Implicit Generative Models , 2016, ArXiv.
[14] Lawrence Carin,et al. Learning Structured Weight Uncertainty in Bayesian Neural Networks , 2017, AISTATS.
[15] Dustin Tran,et al. Operator Variational Inference , 2016, NIPS.
[16] Max Welling,et al. Multiplicative Normalizing Flows for Variational Bayesian Neural Networks , 2017, ICML.
[17] Max Welling,et al. Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors , 2016, ICML.
[18] Chong Wang,et al. Stochastic variational inference , 2012, J. Mach. Learn. Res..
[19] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[20] Yehuda Koren,et al. Matrix Factorization Techniques for Recommender Systems , 2009, Computer.
[21] Ferenc Huszár,et al. Variational Inference using Implicit Distributions , 2017, ArXiv.
[22] Takafumi Kanamori,et al. A Least-squares Approach to Direct Importance Estimation , 2009, J. Mach. Learn. Res..
[23] Sebastian Nowozin,et al. Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks , 2017, ICML.
[24] Zoubin Ghahramani,et al. Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning , 2015, ICML.
[25] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[26] Zoubin Ghahramani,et al. Probabilistic machine learning and artificial intelligence , 2015, Nature.
[27] Qiang Liu,et al. Two Methods for Wild Variational Inference , 2016, 1612.00081.
[28] Shakir Mohamed,et al. Variational Inference with Normalizing Flows , 2015, ICML.
[29] Aaron C. Courville,et al. Adversarially Learned Inference , 2016, ICLR.
[30] Max Welling,et al. Improved Variational Inference with Inverse Autoregressive Flow , 2016, NIPS 2016.