29 citations · 51 across the 4 of their papers we have counts for
4 papers
Random Projections For Large-Scale Regression
Gian-Andrea Thanei, Christina Heinze, Nicolai Meinshausen
Fitting linear regression models can be computationally very expensive in large-scale data analysis tasks if the sample size and the number of variables are very large. Random proj…
DUAL-LOCO: Distributing Statistical Estimation Using Random Projections
Christina Heinze, Brian McWilliams, Nicolai Meinshausen
We present DUAL-LOCO, a communication-efficient algorithm for distributed statistical estimation. DUAL-LOCO assumes that the data is distributed according to the features rather th…
backShift: Learning causal cyclic graphs from unknown shift interventions
Dominik Rothenhäusler, Christina Heinze, Jonas Peters +1
We propose a simple method to learn linear causal cyclic models in the presence of latent variables. The method relies on equilibrium data of the model recorded under a specific ki…
LOCO: Distributing Ridge Regression with Random Projections
Christina Heinze, Brian McWilliams, Nicolai Meinshausen +1
We propose LOCO, an algorithm for large-scale ridge regression which distributes the features across workers on a cluster. Important dependencies between variables are preserved us…