christinaheinze

CompareCausalNetworks

A unified interface for the estimation of causal networks

causality-course-ethz

Code used in the causality course (401-4632-15) at ETH Zurich.

nonlinearICP-and-CondIndTests

Code for a variety of nonlinear conditional independence tests and 'nonlinear Invariant Causal Prediction' to estimate the causal parents of a given target variable from data collected in different experimental or environmental conditions, extending 'Invariant Causal Prediction' from Peters, Buehlmann and Meinshausen (2016) to nonlinear settings.

core

TensorFlow implementation of 'Core', proposed in "Conditional Variance Penalties and Domain Shift Robustness".

backShift

Code for 'backShift', an algorithm to estimate the connectivity matrix of a directed (possibly cyclic) graph with hidden variables.

latent-linear-adjustment-autoencoders

Latent Linear Adjustment autoencoders: A novel method for estimating and simulating dynamic precipitation at high resolution

loco-lib

A library for distributed L2-penalised estimation problems, implemented in Scala&Spark.

mvs-autoencoders

Code for (variational) autoencoders, provided for the lecture Multivariate Statistics at ETH Zurich in spring 2017.

learning-blackjack

Seminar in Statistics: Learning Blackjack (seminar taught at ETH Zurich in spring 2016)

christinaheinze.github.io

vagan-code

Tensorflow implementation of 'Visual Feature Attribution using Wasserstein GANs'