f-t-s

CGD

This repository contains the Julia code for the paper "Competitive Gradient Descent"

cholesky_by_KL_minimization

Sparse Cholesky factorization by Kullback-Leibler minimization

CMD_old

The julia code for the paper on Competitive Mirror Descent

CompressingSolvers.jl

Code containing the package for compressing blackbox solvers

conditional_knn

a respository to explore the usefulness of the conditional knn estimator

f-t-s.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

FlorianStyle.jl

KoLesky.jl

This package implements the methods described in https://arxiv.org/abs/2004.14455 for fast Gaussian process statistics

nearLinKernel

sparse_recovery_of_elliptic_solution_operators_from_matrix-vector_products

f-t-s/CGD

This repository contains the Julia code for the paper "Competitive Gradient Descent"

f-t-s/cholesky_by_KL_minimization

Sparse Cholesky factorization by Kullback-Leibler minimization

f-t-s/KoLesky.jl

This package implements the methods described in https://arxiv.org/abs/2004.14455 for fast Gaussian process statistics

f-t-s/nearLinKernel

f-t-s/CMD_old

The julia code for the paper on Competitive Mirror Descent

f-t-s/sparse_recovery_of_elliptic_solution_operators_from_matrix-vector_products

f-t-s/CompressingSolvers.jl

Code containing the package for compressing blackbox solvers

f-t-s/conditional_knn

a respository to explore the usefulness of the conditional knn estimator

f-t-s/f-t-s.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

f-t-s/FlorianStyle.jl

f-t-s/H2Pack

H2 Matrix Package

f-t-s/modular_CMD.jl

f-t-s/multi_cmd

Extending Competitive Mirror Descent to a multi-agent, reinforcement learning setting.

f-t-s/PINNs

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

f-t-s/spelliptic

This repository contains an implementation of the sparse Cholesky factorization of dense covariance matrices as described in https://arxiv.org/abs/1706.02205