Concepedia

Sayash Kapoor

SK

Statistics

Publications

15

Citations

1K

H-Index

13

Active since

2018

Affiliations

Princeton University(Current)

Stanford University

Center for Information Technology

Indian Institute of Technology Kanpur

Massachusetts Institute of Technology

Sayash Kapoor is an author at Princeton University specializing in engineering, data science, and machine learning.

Top concepts

EngineeringData ScienceMachine LearningComputer ScienceKnowledge DiscoveryArtificial IntelligenceBiasData PrivacyDecision TheoryAlgorithmic Fairness

Publications per year

2018–2025

15

Publications

15

Leakage and the reproducibility crisis in machine-learning-based science

Sayash Kapoor, Arvind Narayanan · Patterns · 2023 · 513 citations · Full text

Leakage and the Reproducibility Crisis in ML-based Science

Sayash Kapoor, Arvind Narayanan · arXiv (Cornell University) · 2022 · 138 citations · Full text

Data-driven Science, Engineering, Machine Learning +14

Controlling Polarization in Personalization

L. Elisa Celis, Sayash Kapoor, Farnood Salehi et al. · 2019 · 67 citations · Full text

Engineering, Social Influence, Communication +25

The Foundation Model Transparency Index

Rishi Bommasani, Kevin Klyman, Shayne Longpre et al. · arXiv (Cornell University) · 2023 · 40 citations · Full text

Open Data, Index System, Computational Social Science +14

Against Predictive Optimization: On the Legitimacy of Decision-making Algorithms That Optimize Predictive Accuracy

Angelina Wang, Sayash Kapoor, Solon Barocas et al. · ACM Journal on Responsible Computing · 2023 · 40 citations · Full text

Artificial Intelligence, Mathematical Programming, Engineering +25

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