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
Fingerprint
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.
- 1 Similar Profiles
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
-
-
Combining Observational and Experimental Data to Improve Intervention Decisions
1/01/23 → 31/12/24
Project: Research
-
Observational vs. Experimental Data When Making Automated Decisions Using Machine Learning
FERNANDEZ LORIA, C. & PROVOST, F., Jun 2025, In: INFORMS Journal on Data Science.Research output: Contribution to journal › Journal Article › peer-review
-
Observational vs Experimental Data When Making Automated Decisions Using Machine Learning
Fernández-Loría, C. & Provost, F., 2025, In: Informs Journal on Data Science.Research output: Contribution to journal › Journal Article › peer-review
-
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 Access5 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
11 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
20 Citations (Scopus)
Activities
- 1 Membership of committee
-
Department of Information Systems, Business Statistics & Operations Management (Organisational unit)
FERNANDEZ LORIA, C. M. (Member)
2022 → …Activity: Membership › Membership of committee