aliaksah Goto Github PK
Name: Aliaksandr Hubin
Type: User
Company: University of Oslo
Bio: PhD in Mathematical Statistics
Twitter: AliaksandrHubin
Location: Oslo
Blog: https://www.mn.uio.no/math/english/people/aca/aliaksah/index.html
Name: Aliaksandr Hubin
Type: User
Company: University of Oslo
Bio: PhD in Mathematical Statistics
Twitter: AliaksandrHubin
Location: Oslo
Blog: https://www.mn.uio.no/math/english/people/aca/aliaksah/index.html
Combining Variational Bayes and GMJMCMC for Scalable Inference on Bayesian Generalized Nonlinear Models, Philip Sebastian Hauglie Sommerfelt, 2023
Seminars DeepBayes Summer School 2018
Adding adaptive simulated variable selection, and various prediction options for the standard depmixS4
supplementary materials
Bayesian model configuration, selection and averaging in complex regression contexts
Make Neural Networks more interpretable by using Input-Skip Latent Binary Bayesian Neural Networks (ISLBBNN). Allows for global explanation of predictions, and can also be used for local explanations.
An intensive worksop for introduction to R
skweak: A software toolkit for weak supervision applied to NLP tasks
selected lectures in spin 300
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
Code base for producing the results reported in the paper Variational Inference for Bayesian Neural Networks under Model and Parameter Uncertainty.
Framework to learn Named Entity Recognition models without labelled data using weak supervision.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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Some thing interesting about web. New door for the world.
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Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.