tagas

Pinned Repositories

sVAE
Language:Python56 6 35
aboutme
Language:HTML00
bQCD
Distinguishing Cause from Effect Using Quantiles: Bivariate Quantile Causal Discovery
Language:R3 1 02
copulaDAG
Language:R0 2 00
DropoutUncertaintyExps
Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"
Language:Python00
qccd
This repository is part of the supplementary material for the paper: N. Tagasovska, T. Vatter, V. Chavez-Demoulin, "Nonparametric Quantile-Based Causal Discovery”, 2018.
Language:R1 1 01
rvinecopulib
R interface to the vinecopulib C++ library
Language:C++00
vcae
Vine Copula Autoencoders
Language:Python6 1 03
vcnn
Language:Jupyter Notebook3 2 01
vine_uncertainties
0 1 00

tagas's Repositories

tagas/vcae
Vine Copula Autoencoders
Language:Python6 1 03
tagas/bQCD
Distinguishing Cause from Effect Using Quantiles: Bivariate Quantile Causal Discovery
Language:R3 1 02
tagas/vcnn
Language:Jupyter Notebook3 2 01
tagas/qccd
This repository is part of the supplementary material for the paper: N. Tagasovska, T. Vatter, V. Chavez-Demoulin, "Nonparametric Quantile-Based Causal Discovery”, 2018.
Language:R1 1 01
tagas/aboutme
Language:HTML00
tagas/copulaDAG
Language:R0 2 00
tagas/DropoutUncertaintyExps
Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"
Language:Python00
tagas/rvinecopulib
R interface to the vinecopulib C++ library
Language:C++00
tagas/vine_uncertainties
0 1 00