J. Schölkopf

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Causal Inference & Discovery — 21 citations into it; #304 of 364 by trust here, #111 by citations
• Statistics and Probability — 21 citations into it
• Computational Theory and Mathematics — 6 citations into it

Whom J. Schölkopf trusts overall

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

1. Dominik Janzing
2. Joris M. Mooij
3. Bernhard Schölkopf
4. Jan Peters
5. Arthur Gretton
6. Carl E. Rasmussen
7. Peter Buhlmann

Who trusts J. Schölkopf overall

1. Bernhard Schölkopf
2. David Lopez-Paz

Papers from J. Schölkopf's perspective

Ordered by how strongly the researchers J. Schölkopf trusts endorse each paper. Same corpus, a different order for every researcher.

1. Information Theory: 1948-1998 - Guest Editorial
2. Causality : Models , Reasoning , and Inference
3. Causation, Prediction, and Search
4. Nonlinear causal discovery with additive noise models
5. Measuring Statistical Dependence with Hilbert-Schmidt Norms
6. ImageNet classification with deep convolutional neural networks
7. On the Identifiability of the Post-Nonlinear Causal Model
8. Estimating mutual information.
9. Learning with Kernels
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks (2014) — 445 citations