Christina Heinze — accepted AI-conference papers

2016

DUAL-LOCO: Distributing Statistical Estimation Using Random Projections

Christina Heinze, Brian McWilliams, Nicolai Meinshausen

AISTATS 2016poster

We present DUAL-LOCO, a communication-efficient algorithm for distributed statistical estimation. DUAL-LOCO assumes that the data is distributed across workers according to the features rather than the samples. It requires only a single round of communication where low-dimensional random projections…

Cited by 48 Source ↗PDF ↗code ↗Scholar ↗

2015

BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions

Dominik Rothenhäusler, Christina Heinze, Jonas Peters, Nicolai Meinshausen

NeurIPS 2015poster

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 kind of interventions (``shift interventions''). The location and strength of these interventions do not have to be known…

Cited by 88 Source ↗PDF ↗Scholar ↗