Learning deep kernels for exponential family densities

20 November 2018

Papers citing "Learning deep kernels for exponential family densities"

24 / 24 papers shown

Title
Composite Goodness-of-fit Tests with Kernels Oscar Key Arthur Gretton F. Briol T. Fernandez 68 16 0 19 Nov 2021
Informative Features for Model Comparison Wittawat Jitkrittum Heishiro Kanagawa Patsorn Sangkloy James Hays Bernhard Schölkopf Arthur Gretton 52 27 0 27 Oct 2018
On gradient regularizers for MMD GANs Michael Arbel Danica J. Sutherland Mikolaj Binkowski Arthur Gretton 64 95 0 29 May 2018
Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance Neal Jean Sang Michael Xie Stefano Ermon BDL SSL 54 76 0 26 May 2018
Deep Energy Estimator Networks Saeed Saremi Arash Mehrjou Bernhard Schölkopf Aapo Hyvarinen 50 74 0 21 May 2018
Demystifying MMD GANs Mikolaj Binkowski Danica J. Sutherland Michael Arbel Arthur Gretton EGVM 130 1,490 0 04 Jan 2018
Kernel Conditional Exponential Family Michael Arbel Arthur Gretton 50 25 0 15 Nov 2017
Sharpening Jensen's Inequality Jason Liao Arthur Berg 35 73 0 26 Jul 2017
The Cramer Distance as a Solution to Biased Wasserstein Gradients Marc G. Bellemare Ivo Danihelka Will Dabney S. Mohamed Balaji Lakshminarayanan Stephan Hoyer Rémi Munos GAN 70 344 0 30 May 2017
MMD GAN: Towards Deeper Understanding of Moment Matching Network Chun-Liang Li Wei-Cheng Chang Yu Cheng Yiming Yang Barnabás Póczós GAN 66 721 0 24 May 2017
A Linear-Time Kernel Goodness-of-Fit Test Wittawat Jitkrittum Wenkai Xu Z. Szabó Kenji Fukumizu Arthur Gretton 62 104 0 22 May 2017
Masked Autoregressive Flow for Density Estimation George Papamakarios Theo Pavlakou Iain Murray 195 1,351 0 19 May 2017
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 252 3,693 0 26 May 2016
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann Arthur Gretton BDL 187 328 0 09 Feb 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 451 2,566 0 25 Jan 2016
Deep Kernel Learning A. Wilson Zhiting Hu Ruslan Salakhutdinov Eric Xing BDL 234 885 0 06 Nov 2015
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families Heiko Strathmann Dino Sejdinovic Samuel Livingstone Z. Szabó Arthur Gretton BDL 63 76 0 08 Jun 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 302 4,167 0 21 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.6K 149,842 0 22 Dec 2014
Score Function Features for Discriminative Learning Majid Janzamin Hanie Sedghi Anima Anandkumar 80 43 0 19 Dec 2014
Clustering via Mode Seeking by Direct Estimation of the Gradient of a Log-Density Hiroaki Sasaki Aapo Hyvarinen Masashi Sugiyama 58 46 0 20 Apr 2014
Density Estimation in Infinite Dimensional Exponential Families Bharath K. Sriperumbudur Kenji Fukumizu Arthur Gretton Aapo Hyvarinen Revant Kumar 63 125 0 12 Dec 2013
RNADE: The real-valued neural autoregressive density-estimator Benigno Uria Iain Murray Hugo Larochelle 98 238 0 02 Jun 2013
Interpretation and Generalization of Score Matching Siwei Lyu 100 146 0 09 May 2012