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Carlos Fernández-Loría

Hong Kong University of Science and Technology (from arXiv:2004.11532, 2020) · ORCID · OpenAlex

5 papers in scope · 5 published · 2 on the econ.EM arXiv · 138 citations · h-index 4 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Qi Wu
  2. Siyi Wang
  3. Yijun Li
  4. Yiyan Huang
  5. Cheuk Hang Leung
  6. Susan Athey
  7. Guido W. Imbens
  8. Xinkun Nie
  9. Alicia Curth
  10. Mihaela van der Schaar
  11. Stefan Wager
  12. Shumin Ma
  13. Zhiri Yuan
  14. Dongdong Wang
  15. Zhixiang Huang
  16. Benjamin Carterette
  17. Jesse Anderton
  18. Praveen Chandar
  19. Foster Provost
  20. Xing Yan

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(1 of 5)

Observational vs. Experimental Data When Making Automated Decisions Using Machine Learning
published2025 · INFORMS Journal on Data Science
Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach
published2022 · MIS Quarterly · 54 citations · first circulated 2020
with Foster Provost, Xintian Han
published2022 · Information Systems Research · 11 citations · first circulated 2020
Evolution of Referrals over Customers’ Life Cycle: Evidence from a Ride-Sharing Platform
published2022 · Information Systems Research · 21 citations
with Maxime C. Cohen, Anindya Ghose
Rejoinder to “Causal Decision Making and Causal Effect Estimation Are Not the Same…and Why It Matters”
published2022 · INFORMS Journal on Data Science · 52 citations · first circulated 2021

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.