Darmstadt, Germany

Mohammad Emtiyaz Khan

Expert
@emtiyaz

Professor, TU Darmstadt, Germany Team Director (Visiting) RIKEN Center for AI Project, Japan

emtiyaz.github.io/index.html

vadam. Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, Gal, and Srivastava

112

vmp-for-svae. Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)

47

cvi. Code for AISTATS 2017 paper on "Conjugate-Computation Variational Inference"

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VariationalApproxExample. An example of variational approximation for Gaussian process classification

7

prox-grad-svi. Proximal Gradient Stochastic Variational Inference Based on UAI-2016 paper by Khan, Babanezhad, Lin, Schmidt, and Sugiyama

7

recommendation-system-examples. MATLAB

2

recommedationDatasets. Process sushi3 data

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