Publications (24)
Removing systematic errors for exoplanet search via latent causes
Bernhard Schölkopf, David W. Hogg, Dun Wang +4
Identifiability of Causal Graphs using Functional Models
Jonas Peters, Joris Mooij, Dominik Janzing +1
backShift: Learning causal cyclic graphs from unknown shift interventions
Dominik Rothenhäusler, Christina Heinze, Jonas Peters +1
Kernel-based Tests for Joint Independence
Niklas Pfister, Peter Bühlmann, Bernhard Schölkopf +1
Identifying Finite Mixtures of Nonparametric Product Distributions and Causal Inference of Confounders
Eleni Sgouritsa, Dominik Janzing, Jonas Peters +1
Invariant Causal Prediction for Nonlinear Models
Christina Heinze-Deml, Jonas Peters, Nicolai Meinshausen
Computing Functions of Random Variables via Reproducing Kernel Hilbert Space Representations
Bernhard Schölkopf, Krikamol Muandet, Kenji Fukumizu +1
Structural Intervention Distance (SID) for Evaluating Causal Graphs
Jonas Peters, Peter Bühlmann
Causal Inference on Discrete Data using Additive Noise Models
Jonas Peters, Dominik Janzing, Bernhard Schölkopf
Causal Inference on Time Series using Structural Equation Models
Jonas Peters, Dominik Janzing, Bernhard Schölkopf
The Arrow of Time in Multivariate Time Series
Stefan Bauer, Bernhard Schölkopf, Jonas Peters
Invariant Causal Prediction for Sequential Data
Niklas Pfister, Peter Bühlmann, Jonas Peters
CAM: Causal additive models, high-dimensional order search and penalized regression
Peter Bühlmann, Jonas Peters, Jan Ernest
Identifiability of Gaussian structural equation models with equal error variances
Jonas Peters, Peter Bühlmann
On Causal and Anticausal Learning
Bernhard Schoelkopf, Dominik Janzing, Jonas Peters +3
Counterfactual Reasoning and Learning Systems
Léon Bottou, Jonas Peters, Joaquin Quiñonero-Candela +6
Invariant Models for Causal Transfer Learning
Mateo Rojas-Carulla, Bernhard Schölkopf, Richard Turner +1
On the Intersection Property of Conditional Independence and its Application to Causal Discovery
Jonas Peters
Causal Discovery with Continuous Additive Noise Models
Jonas Peters, Joris Mooij, Dominik Janzing +1
Kernel-based Conditional Independence Test and Application in Causal Discovery
Kun Zhang, Jonas Peters, Dominik Janzing +1
Detecting low-complexity unobserved causes
Dominik Janzing, Eleni Sgouritsa, Oliver Stegle +2
Distinguishing cause from effect using observational data: methods and benchmarks
Joris M. Mooij, Jonas Peters, Dominik Janzing +2
Robust Learning via Cause-Effect Models
Bernhard Schölkopf, Dominik Janzing, Jonas Peters +1
Identifying confounders using additive noise models
Dominik Janzing, Jonas Peters, Joris Mooij +1