Daniel Malinsky

Artificial Intelligence · with Nabi · 2018

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

• Artificial Intelligence — 12 citations into it
• Statistics and Probability — 9 citations into it
• AI Ethics, Fairness & Society — 8 citations into it
• Causal Inference & Discovery — 8 citations into it
• Safety, Robustness & Interpretability — 6 citations into it

Whom Daniel Malinsky trusts overall

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

1. Ilya Shpitser
2. James M. Robins
3. Thomas S. Richardson
4. Judea Pearl
5. Razieh Nabi
6. Anthony W. Flores
7. Marloes H. Maathuis
8. Alexandra Chouldechova
9. E. T. Tchetgen Tchetgen
10. Tom L. Burr

Who trusts Daniel Malinsky overall

1. Ninareh Mehrabi

Papers from Daniel Malinsky's perspective

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

1. Causality : Models , Reasoning , and Inference
2. Equivalence and Synthesis of Causal Models
3. Causation, Prediction, and Search
4. Direct and Indirect Effects
5. Optimal Structural Nested Models for Optimal Sequential Decisions
6. Single World Intervention Graphs ( SWIGs ) : A Unification of the Counterfactual and Graphical Approaches to Causality
7. Equality of Opportunity in Supervised Learning
8. Certifying and Removing Disparate Impact
9. Counterfactual Fairness (Neural Information Processing Systems)
10. Discrimination-aware data mining

Their papers

• Learning Optimal Fair Policies (2018) — 107 citations