More from the Same Authors

• 2022 Poster: Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions »
  Andrew Jesson · Alyson Douglas · Peter Manshausen · Maëlys Solal · Nicolai Meinshausen · Philip Stier · Yarin Gal · Uri Shalit
• 2018 : Datasets and Benchmarks for Causal Learning »
  Csaba Szepesvari · Isabelle Guyon · Nicolai Meinshausen · David Blei · Elias Bareinboim · Bernhard Schölkopf · Pietro Perona
• 2016 Poster: Scalable Adaptive Stochastic Optimization Using Random Projections »
  Gabriel Krummenacher · Brian McWilliams · Yannic Kilcher · Joachim M Buhmann · Nicolai Meinshausen
• 2015 Poster: BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions »
  Dominik Rothenhäusler · Christina Heinze-Deml · Jonas Peters · Nicolai Meinshausen