D. Ensign

Journal of Computational Chemistry · 2009–2017

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Whom D. Ensign trusts overall

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

1. Robin Pemantle
2. Kristian Lum
3. Matthew Joseph
4. George O. Mohler
5. Michael Kearns

Who trusts D. Ensign overall

1. Nathan Kallus
2. Dana Pessach
3. Harini Suresh
4. A. D'Amour
5. Angela Zhou
6. Ben Hutchinson
7. Hao Wu
8. Donald Martin
9. Inioluwa Deborah Raji

Papers from D. Ensign's perspective

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

1. Fairness in Learning: Classic and Contextual Bandits
2. To predict and serve?
3. Rawlsian Fairness for Machine Learning
4. Fairness Incentives for Myopic Agents
5. Fair Learning in Markovian Environments
6. A Generalization of Sampling Without Replacement from a Finite Universe
7. A survey of random processes with reinforcement
8. Randomized Controlled Field Trials of Predictive Policing
9. Big Data's Disparate Impact
10. Inherent Trade-Offs in the Fair Determination of Risk Scores

Their papers

• Runaway Feedback Loops in Predictive Policing (2017) — 401 citations
• Enhanced modeling via network theory: Adaptive sampling of Markov state models (2010) — 244 citations
• Accelerating Molecular Dynamic Simulation on Graphics Processing Units (2009) — 542 citations