Jonas Peters

Best Publications

• Elements of Causal Inference: Foundations and Learning Algorithms

  Jonas Peters;Dominik Janzing;Bernhard Schölkopf

  1106
  Citations

• Inferring causation from time series in Earth system sciences

  Jakob Runge;Jakob Runge;Sebastian Bathiany;Erik Bollt;Gustau Camps-Valls

  862
  Citations

• Nonlinear causal discovery with additive noise models

  Patrik O. Hoyer;Dominik Janzing;Joris M. Mooij;Jonas Peters

  823
  Citations

• Causal inference by using invariant prediction: identification and confidence intervals

  Jonas Peters;Peter Bühlmann;Nicolai Meinshausen

  720
  Citations

• Kernel-based conditional independence test and application in causal discovery

  Kun Zhang;Jonas Peters;Dominik Janzing;Bernhard Schölkopf

  478
  Citations

• Causal discovery with continuous additive noise models

  Jonas Peters;Joris M. Mooij;Dominik Janzing;Bernhard Schölkopf

  468
  Citations

• Distinguishing cause from effect using observational data: methods and benchmarks

  Joris M. Mooij;Jonas Peters;Dominik Janzing;Jakob Zscheischler

  402
  Citations

• On causal and anticausal learning

  Dominik Janzing;Jonas Peters;Eleni Sgouritsa;Kun Zhang

  371
  Citations

• The hardness of conditional independence testing and the generalised covariance measure

  Rajen D. Shah;Jonas Peters

  308
  Citations

• Identifiability of Gaussian structural equation models with equal error variances

  Jonas Peters;Peter Buhlmann

  274
  Citations

• On Causal and Anticausal Learning

  Bernhard Schoelkopf;Dominik Janzing;Jonas Peters;Eleni Sgouritsa

  213
  Citations

• Invariant Causal Prediction for Nonlinear Models

  Christina Heinze-Deml;Jonas Peters;Nicolai Meinshausen

  201
  Citations

• Invariant models for causal transfer learning

  Mateo Rojas-Carulla;Bernhard Schölkopf;Richard Turner;Jonas Peters

  196
  Citations

• Kernel-based Tests for Joint Independence

  Niklas Pfister;Peter Bühlmann;Bernhard Schölkopf;Jonas Peters;Jonas Peters

  195
  Citations

• Causal Inference on Discrete Data Using Additive Noise Models

  J. Peters;D. Janzing;B. Scholkopf

  189
  Citations

• Methods for causal inference from gene perturbation experiments and validation.

  Nicolai Meinshausen;Alain Hauser;Joris M. Mooij;Jonas Peters

  147
  Citations

• Regression by dependence minimization and its application to causal inference in additive noise models

  Joris Mooij;Dominik Janzing;Jonas Peters;Bernhard Schölkopf

  146
  Citations

• Anchor regression: heterogeneous data meets causality

  Dominik Rothenhäusler;Nicolai Meinshausen;Peter Bühlmann;Jonas Peters

  144
  Citations

• CAM: Causal additive models, high-dimensional order search and penalized regression

  Peter Bühlmann;Jonas Peters;Jan Ernest

  86
  Citations

• Causal Discovery with Continuous Additive Noise Models

  Jonas Peters;Joris Mooij;Dominik Janzing;Bernhard Schölkopf

  85
  Citations