Nicolai Meinshausen

Full Professor, ETH Zurich

Joined

September 2017

Names

Nicolai Meinshausen

Emails

****@stat.math.ethz.ch (Confirmed)

Personal Links

DBLP

Career & Education History

Full Professor

ETH Zurich (ethz.ch)

2013 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Representation Learning for Distributional Perturbation Extrapolation
Julius von Kügelgen, Xinwei Shen, Jakob Ketterer, Nicolai Meinshausen, Jonas Peters
- ICLR 2025 Workshop LMRL
- Readers: Everyone
Latent Linear Adjustment Autoencoder v1. 0: a novel method for estimating and emulating dynamic precipitation at high resolution
Christina Heinze-Deml, Sebastian Sippel, Angeline Pendergrass, Flavio Lehner, Nicolai Meinshausen
- 12 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Random projections for large-scale regression
Gian-Andrea Thanei, Christina Heinze-Deml, Nicolai Meinshausen
- 12 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Causal structure learning
Christina Heinze-Deml, Marloes H. Maathuis, Nicolai Meinshausen
- 12 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Invariant Causal Prediction for Nonlinear Models
Christina Heinze-Deml, Jonas Peters, Nicolai Meinshausen
- 12 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Causal discovery in heavy-tailed models
Nicola Gnecco, Nicolai Meinshausen, Jonas Peters, Sebastian Engelke
- 16 Feb 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions
Andrew Jesson, Alyson Rose Douglas, Peter Manshausen, Maëlys Solal, Nicolai Meinshausen, Philip Stier, Yarin Gal, Uri Shalit
- Published: 31 Oct 2022, Last Modified: 05 May 2023
- NeurIPS 2022 Accept
- Readers: Everyone
Causal Dantzig: fast inference in linear structural equation models with hidden variables under additive interventions
Dominik Rothenhaeusler, Peter Buhlmann, Nicolai Meinshausen
- 13 May 2021
- OpenReview Archive Direct Upload
- Readers: Everyone
Anchor regression: heterogeneous data meet causality
Dominik Rothenhaeusler, Nicolai Meinshausen, Peter Bühlmann, Jonas Peters
- 21 Apr 2021
- OpenReview Archive Direct Upload
- Readers: Everyone
Scalable Adaptive Stochastic Optimization Using Random Projections
Gabriel Krummenacher, Brian McWilliams, Yannic Kilcher, Joachim M. Buhmann, Nicolai Meinshausen
- 2016 (modified: 11 Nov 2022)
- NIPS 2016
- Readers: Everyone

View all 11 publications

Co-Authors

View all 27 co-authors