Bernhard Sch¨olkopf

Causal Inference & Discovery

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bernhard Sch¨olkopf trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Tom L. Burr
  2. Dominik Janzing
  3. Christopher Meek
  4. Arthur Gretton
  5. Bernhard Schölkopf
  6. Joris M. Mooij
  7. Patrik O. Hoyer
  8. Kenji Fukumizu
  9. Jan Peters
  10. Peter M. Bentler

Who trusts Bernhard Sch¨olkopf overall

  1. Bernhard Schölkopf
  2. Dominik Janzing
  3. Jan Peters
  4. Peter Buhlmann
  5. Christopher Nowzohour
  6. Alain Hauser

Papers from Bernhard Sch¨olkopf's perspective

Ordered by how strongly the researchers Bernhard Sch¨olkopf trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Causality : Models , Reasoning , and Inference
  2. Causation, Prediction, and Search
  3. Nonlinear causal discovery with additive noise models
  4. Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning
  5. A Linear Non-Gaussian Acyclic Model for Causal Discovery
  6. Causal Inference Using the Algorithmic Markov Condition
  7. Kernel Measures of Conditional Dependence
  8. Regression by dependence minimization and its application to causal inference in additive noise models
  9. Causal Models as Minimal Descriptions of Multivariate Systems
  10. Causal inference and causal explanation with background knowledge

Their papers