Projects per year
Personal profile
Research interests
Computer Science / Information Technology - Automated decision making
Mathematics & Statistics - Causal inference
Computer Science / Information Technology - Explainable Artificial Intelligence (XAI)
Mathematics & Statistics - Causal inference
Computer Science / Information Technology - Explainable Artificial Intelligence (XAI)
Related documents
Education/Academic qualification
PhD in Information Systems, PhD, New York University
2021
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Dive into the research topics where Carlos Manuel FERNANDEZ LORIA is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Combining Observational and Experimental Data to Improve Intervention Decisions
1/01/23 → 31/12/24
Project: Research
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Observational vs. Experimental Data When Making Automated Decisions Using Machine Learning
FERNANDEZ LORIA, C. & PROVOST, F., Jul 2025, In: INFORMS Journal on Data Science. 4, 3, p. 197-229 33 p.Research output: Contribution to journal › Journal Article › peer-review
Open Access -
A Comparison of Methods for Treatment Assignment with an Application to Playlist Generation
Fernández-Loría, C., Provost, F., Anderton, J., Carterette, B. & Chandar, P., Jun 2023, In: Information Systems Research. 34, 2, p. 786-803 18 p.Research output: Contribution to journal › Journal Article › peer-review
Open Access10 Link opens in a new tab Citations (Scopus) -
Evolution of Referrals over Customers’ Life Cycle: Evidence from a Ride-Sharing Platform
Fernández-Loría, C., Cohen, M. C. & Ghose, A., Jun 2023, In: Information Systems Research. 34, 2, p. 698-720 23 p.Research output: Contribution to journal › Journal Article › peer-review
15 Link opens in a new tab Citations (Scopus) -
Causal Classification: Treatment Effect Estimation vs. Outcome Prediction
FERNANDEZ LORIA, C. & PROVOST, F., 2022, In: Journal of Machine Learning Research. 23, p. 1-35 35 p., 59.Research output: Contribution to journal › Journal Article › peer-review
23 Link opens in a new tab Citations (Scopus) -
Causal Decision Making and Causal Effect Estimation are Not the Same… and Why it Matters
FERNANDEZ LORIA, C. M. & PROVOST, F., Apr 2022, In: INFORMS Journal on Data Science. v. 1, p. 4-16Research output: Contribution to journal › Journal Article › peer-review
Activities
- 1 Membership of committee
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Department of Information Systems, Business Statistics & Operations Management (Organisational unit)
FERNANDEZ LORIA, C. M. (Member)
2022 → …Activity: Membership › Membership of committee