Pinned Repositories
machine-learning-centrale.github.io
Website of course "Machine Learning" taught at Centrale Lyon, France
SIGLE
Selective Inference in Generalized Linear models through conditional MLE
lar_testing
Python notebook on GtSt testing procedures on the LARS path. Code associated with the manuscript "Multiple Testing and Variable Selection along Least Angle Regression's path" (J.-M. Azaïs & Y. De Castro)
nonparametric-hmm
Estimation of the transition matrix and emission densities in NonParametric HMMs
optimal-design-sum-of-squares
Computing approximate optimal designs for multivariate polynomial regressions
sfw4blasso
Sliding Frank-Wolfe Algorithm for BLASSO
super-resolution-testing
Testing procedures for Super-Resolution, i.e. testing spikes from low frequency measurements.
tensor-spacing
Compute the spacings between symmetric tensor eigenvalues
total-variation-sum-of-squares
Using Sum-of-squares hierarchies to solve the Total Variation norm minimization
ydecastro.github.io
Webpage of Yohann De Castro
ydecastro's Repositories
ydecastro/optimal-design-sum-of-squares
Computing approximate optimal designs for multivariate polynomial regressions
ydecastro/total-variation-sum-of-squares
Using Sum-of-squares hierarchies to solve the Total Variation norm minimization
ydecastro/lar_testing
Python notebook on GtSt testing procedures on the LARS path. Code associated with the manuscript "Multiple Testing and Variable Selection along Least Angle Regression's path" (J.-M. Azaïs & Y. De Castro)
ydecastro/nonparametric-hmm
Estimation of the transition matrix and emission densities in NonParametric HMMs
ydecastro/sfw4blasso
Sliding Frank-Wolfe Algorithm for BLASSO
ydecastro/super-resolution-testing
Testing procedures for Super-Resolution, i.e. testing spikes from low frequency measurements.
ydecastro/tensor-spacing
Compute the spacings between symmetric tensor eigenvalues
ydecastro/ydecastro.github.io
Webpage of Yohann De Castro