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Max Welling

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Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors

Jun 23, 2016
Christos Louizos, Max Welling

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On the Theory and Practice of Privacy-Preserving Bayesian Data Analysis

Jun 09, 2016
James Foulds, Joseph Geumlek, Max Welling, Kamalika Chaudhuri

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Group Equivariant Convolutional Networks

Jun 03, 2016
Taco S. Cohen, Max Welling

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A note on privacy preserving iteratively reweighted least squares

May 24, 2016
Mijung Park, Max Welling

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Herding as a Learning System with Edge-of-Chaos Dynamics

Mar 01, 2016
Yutian Chen, Max Welling

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Variational Dropout and the Local Reparameterization Trick

Dec 20, 2015
Diederik P. Kingma, Tim Salimans, Max Welling

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Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference

Dec 02, 2015
Edward Meeds, Max Welling

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Bayesian Dark Knowledge

Nov 06, 2015
Anoop Korattikara, Vivek Rathod, Kevin Murphy, Max Welling

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Scalable MCMC for Mixed Membership Stochastic Blockmodels

Oct 22, 2015
Wenzhe Li, Sungjin Ahn, Max Welling

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MLitB: Machine Learning in the Browser

Jun 17, 2015
Edward Meeds, Remco Hendriks, Said Al Faraby, Magiel Bruntink, Max Welling

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