Abigail Katoff

Causal Inference & Discovery · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Causal Inference & Discovery — 17 citations into it; #234 of 364 by trust here, #346 by citations
• Artificial Intelligence — 15 citations into it; #21,632 of 35,345 by trust here, #30,347 by citations
• Statistics and Probability — 8 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Abigail Katoff trusts overall

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

1. Alain Hauser
2. Tom L. Burr
3. David Maxwell Chickering
4. Jan Peters
5. Peter Buhlmann
6. Frederick Eberhardt
7. Arthur Gretton
8. Shohei Shimizu
9. Kun Zhang
10. Christina Heinze-Deml

Who trusts Abigail Katoff overall

1. Chandler Squires
2. Joris M. Mooij
3. Philippe Brouillard

Papers from Abigail Katoff's perspective

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

1. Causality : Models , Reasoning , and Inference
2. Causation, Prediction, and Search
3. Optimal Structure Identification With Greedy Search
4. Nonlinear causal discovery with additive noise models
5. Exact Bayesian structure learning from uncertain interventions
6. ImageNet classification with deep convolutional neural networks
7. Equivalence and Synthesis of Causal Models
8. Kernel-based Conditional Independence Test and Application in Causal Discovery
9. Interventions and Causal Inference
10. Gradient-based learning applied to document recognition

Their papers

• Characterizing and Learning Equivalence Classes of Causal DAGs under Interventions (2018) — 135 citations