Amin Jaber

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Causal Inference & Discovery — 24 citations into it
• Statistics and Probability — 15 citations into it
• Probabilistic & Bayesian Methods — 11 citations into it; #1,494 of 1,525 by trust here, #1,415 by citations

Whom Amin Jaber trusts overall

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

1. Jiji Zhang
2. A. P. Dawid
3. Tom L. Burr
4. Jan Peters
5. Murat Kocaoglu
6. Judea Pearl
7. Elias Bareinboim
8. Thomas S. Richardson
9. Peter M. Bentler
10. Keith A. Markus

Who trusts Amin Jaber overall

1. Sébastien Lachapelle
2. Matthew James Vowels
3. Philippe Brouillard

Papers from Amin Jaber's perspective

Ordered by how strongly the researchers Amin Jaber 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. ImageNet classification with deep convolutional neural networks
5. Ancestral graph Markov models
6. Causal inference by using invariant prediction: identification and confidence intervals
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Exact Bayesian structure learning from uncertain interventions
9. Gradient-based learning applied to document recognition
10. Causal diagrams for empirical research

Their papers

• Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning (2020) — 131 citations
• Characterization and Learning of Causal Graphs with Latent Variables from Soft Interventions (2019) — 79 citations