Manish Raghavan

Moscow Institute of Thermal Technology — Russia

Social Sciences · Social Sciences

19h-index3.2kcitations80works1.12yr avg
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Research Topics

Ethics and Social Impacts of AI(27), Explainable Artificial Intelligence (XAI)(14), Auction Theory and Applications(12), Blockchain Technology Applications and Security(8), Experimental Behavioral Economics Studies(6)

Publications80 total

The Impossibility of Inverse Permutation Learning in Transformer Models
arXiv (Cornell University)·2025Open Access
Synthetic Census Data Generation via Multidimensional Multiset Sum
Journal of Privacy and Confidentiality·2025Open Access
When to Ask a Question: Understanding Communication Strategies in Generative AI Tools
2025
Double Machine Learning for Causal Inference under Shared-State Interference
arXiv (Cornell University)·2025Open Access
Evaluating the Impacts of Swapping on the US Decennial Census
2025Open Access
What Constitutes a Less Discriminatory Algorithm?
2025· 4 cited
Evaluating multiple models using labeled and unlabeled data
arXiv (Cornell University)·2025Open Access
What Constitutes a Less Discriminatory Algorithm?
arXiv (Cornell University)·2024Open Access
Competition and Diversity in Generative AI
arXiv (Cornell University)·2024Open Access
Integrating Expert Judgment and Algorithmic Decision Making: An Indistinguishability Framework
arXiv (Cornell University)·2024Open Access
Equilibria, Efficiency, and Inequality in Network Formation for Hiring and Opportunity
2024Open Access
Reconciling the Accuracy-Diversity Trade-off in Recommendations
2024· 9 cited
Content Moderation and the Formation of Online Communities: A Theoretical Framework
2024· 3 citedOpen Access
Synthetic Census Data Generation via Multidimensional Multiset Sum
arXiv (Cornell University)·2024Open Access
The Impact of Generative AI on Labor Market Matching
2024· 3 citedOpen Access
Equilibria, Efficiency, and Inequality in Network Formation for Hiring and Opportunity
arXiv (Cornell University)·2024Open Access
Human Expertise in Algorithmic Prediction
arXiv (Cornell University)·2024· 1 citedOpen Access
Human Expertise in Algorithmic Prediction
2024
What Should We Do when Our Ideas of Fairness Conflict?
Communications of the ACM·2023· 7 citedOpen Access
The Inversion Problem: Why Algorithms Should Infer Mental State and Not Just Predict Behavior
Perspectives on Psychological Science·2023· 19 cited
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Frequent Co-authors

Jon Kleinberg(21), Sendhil Mullainathan(7), Solon Barocas(6), Karen Levy(3), Sigal Oren(2), Chris Hays(2), Zachary Schutzman(2), Aleksandrs Slivkins(2), Jennifer Wortman Vaughan(2), Zhiwei Steven Wu(2), Emma Pierson(2), Nikhil Garg(2), P V Sai Krithik(2), Sai Pratyusha K(2), K. Vasanth(2), Manish Purohit(2), Rohan Alur(2), Devavrat Shah(2), Geoff Pleiss(1), Felix Wu(1)