Doris Entner

Artificial Intelligence · 2012–2013

A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #29,665 of 35,345 by trust here, #31,361 by citations
• Statistics and Probability — 11 citations into it; #11,069 of 12,932 by trust here, #10,275 by citations
• Causal Inference & Discovery — 8 citations into it
• Probabilistic & Bayesian Methods — 8 citations into it

Whom Doris Entner trusts overall

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

1. Tom L. Burr
2. Peter M. Bentler
3. David Ruppert
4. Dominik Janzing
5. Jakob Zscheischler
6. Tyler J. VanderWeele
7. Arthur Gretton
8. Patrik O. Hoyer
9. Shohei Shimizu
10. Ilya Shpitser

Who trusts Doris Entner overall

1. Ricardo M. A. Silva
2. Robin J. Evans
3. Antti Hyttinen
4. Pekka Parviainen
5. Emre Kıcıman
6. Frederick Eberhardt
7. Krzysztof Chalupka
8. Samuel Kaski
9. Christian Gouriéroux
10. Robert Osazuwa Ness

Papers from Doris Entner's perspective

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

1. Causation, Prediction, and Search
2. Causality : Models , Reasoning , and Inference
3. ImageNet classification with deep convolutional neural networks
4. Learning Multiple Layers of Features from Tiny Images
5. A Kernel Statistical Test of Independence
6. GENERATIVE ADVERSARIAL NETS
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Gradient-based learning applied to document recognition
10. Regression Shrinkage and Selection via the Lasso

Their papers

• Estimating a Causal Order among Groups of Variables in Linear Models (2012) — 18 citations
• Data-driven covariate selection for nonparametric estimation of causal effects (2013) — 77 citations
• Causal Inference by Independent Component Analysis: Theory and Applications* (2013) — 205 citations
• Supplementary Material for “ Statistical test for consistent estimation of causal effects in linear non-Gaussian models ” (2012)