Manish Raghavan
Cornell University
H-index: 17
North America-United States
Top articles of Manish Raghavan
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Distinguishing the Indistinguishable: Human Expertise in Algorithmic Prediction | arXiv preprint arXiv:2402.00793 | Rohan Alur Manish Raghavan Devavrat Shah | 2024/2/1 |
Limitations of the" Four-Fifths Rule" and Statistical Parity Tests for Measuring Fairness | Geo. L. Tech. Rev. | Manish Raghavan Pauline T Kim | 2024 |
Synthetic Census Data Generation via Multidimensional Multiset Sum | arXiv preprint arXiv:2404.10095 | Cynthia Dwork Kristjan Greenewald Manish Raghavan | 2024/4/15 |
Equilibria, Efficiency, and Inequality in Network Formation for Hiring and Opportunity | arXiv preprint arXiv:2402.13841 | Cynthia Dwork Chris Hays Jon Kleinberg Manish Raghavan | 2024/2/21 |
Auditing for Human Expertise | Advances in Neural Information Processing Systems | Rohan Alur Loren Laine Darrick Li Manish Raghavan Devavrat Shah | 2024/2/13 |
Greedy algorithm almost dominates in smoothed contextual bandits | SIAM Journal on Computing | Manish Raghavan Aleksandrs Slivkins Jennifer Wortman Vaughan Zhiwei Steven Wu | 2023/4/30 |
Human bias in algorithm design | Nature Human Behaviour | Carey K Morewedge Sendhil Mullainathan Haaya F Naushan Cass R Sunstein Jon Kleinberg | 2023/11 |
The Right to Be an Exception to a Data-Driven Rule | Sarah H Cen Manish Raghavan | 2023/2/27 | |
Content Moderation and the Formation of Online Communities: A Theoretical Framework | arXiv preprint arXiv:2310.10573 | Cynthia Dwork Chris Hays Jon Kleinberg Manish Raghavan | 2023/10/16 |
The inversion problem: Why algorithms should infer mental state and not just predict behavior | Perspectives on Psychological Science | Jon Kleinberg Jens Ludwig Sendhil Mullainathan Manish Raghavan | 2023/10/6 |
What Should We Do when Our Ideas of Fairness Conflict? | Communications of the ACM | Manish Raghavan | 2023/12/21 |
Reconciling the accuracy-diversity trade-off in recommendations | arXiv preprint arXiv:2307.15142 | Kenny Peng Manish Raghavan Emma Pierson Jon Kleinberg Nikhil Garg | 2023/7/27 |
Outliers Exist: What Happens if You are a Data-Driven Exception? | Sarah Cen Manish Raghavan | 2023/12/12 | |
Simplistic collection and labeling practices limit the utility of benchmark datasets for Twitter bot detection | Chris Hays Zachary Schutzman Manish Raghavan Erin Walk Philipp Zimmer | 2023/4/30 | |
The challenge of understanding what users want: Inconsistent preferences and engagement optimization | Management Science | Jon Kleinberg Sendhil Mullainathan Manish Raghavan | 2023/11/7 |
Hybrid intelligence: A paradigm for more responsible practice | Available at SSRN 4301478 | James Guszcza David Danks Craig R Fox Kristian J Hammond Daniel E Ho | 2022/10/12 |
Model multiplicity: Opportunities, concerns, and solutions | Emily Black Manish Raghavan Solon Barocas | 2022/6/21 | |
Algorithmic monoculture and social welfare | Proceedings of the National Academy of Sciences | Jon Kleinberg Manish Raghavan | 2021/6/1 |
Fairness on the ground: Applying algorithmic fairness approaches to production systems | arXiv preprint arXiv:2103.06172 | Chloé Bakalar Renata Barreto Stevie Bergman Miranda Bogen Bobbie Chern | 2021/3/10 |
Bridging machine learning and mechanism design towards algorithmic fairness | Jessie Finocchiaro Roland Maio Faidra Monachou Gourab K Patro Manish Raghavan | 2021/3/3 |
Co-Authors
