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Manish Raghavan
Manish Raghavan
Verified email at seas.harvard.edu - Homepage
Title
Cited by
Cited by
Year
Inherent trade-offs in the fair determination of risk scores
J Kleinberg, S Mullainathan, M Raghavan
Innovations in Theoretical Computer Science 67, 43:1--43:23, 2017
12422017
On fairness and calibration
G Pleiss, M Raghavan, F Wu, J Kleinberg, KQ Weinberger
Advances in neural information processing systems 30, 2017
5302017
Mitigating bias in algorithmic hiring: Evaluating claims and practices
M Raghavan, S Barocas, J Kleinberg, K Levy
Proceedings of the 2020 conference on fairness, accountability, and …, 2020
2442020
Roles for computing in social change
R Abebe, S Barocas, J Kleinberg, K Levy, M Raghavan, DG Robinson
Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020
1332020
The hidden assumptions behind counterfactual explanations and principal reasons
S Barocas, AD Selbst, M Raghavan
Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020
1152020
How do classifiers induce agents to invest effort strategically?
J Kleinberg, M Raghavan
ACM Transactions on Economics and Computation (TEAC) 8 (4), 1-23, 2020
892020
Selection problems in the presence of implicit bias
J Kleinberg, M Raghavan
9th Innovations in Theoretical Computer Science Conference (ITCS 2018) 94 …, 2018
562018
The Externalities of Exploration and How Data Diversity Helps Exploitation
M Raghavan, A Slivkins, JW Vaughan, ZS Wu
Conference on Learning Theory, 2018
472018
Deduplicating a places database
N Dalvi, M Olteanu, M Raghavan, P Bohannon
Proceedings of the 23rd international conference on World wide web, 409-418, 2014
312014
Planning problems for sophisticated agents with present bias
J Kleinberg, S Oren, M Raghavan
Proceedings of the 2016 ACM Conference on Economics and Computation, 343-360, 2016
302016
Bridging machine learning and mechanism design towards algorithmic fairness
J Finocchiaro, R Maio, F Monachou, GK Patro, M Raghavan, AA Stoica, ...
Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021
282021
Planning with multiple biases
J Kleinberg, S Oren, M Raghavan
Proceedings of the 2017 ACM Conference on Economics and Computation, 567-584, 2017
202017
Challenges for mitigating bias in algorithmic hiring
M Raghavan, S Barocas
Brookings. Retrieved February 25, 2020, 2019
102019
Greedy algorithm almost dominates in smoothed contextual bandits
M Raghavan, A Slivkins, JW Vaughan, ZS Wu
arXiv preprint arXiv:2005.10624, 2020
92020
Algorithmic monoculture and social welfare
J Kleinberg, M Raghavan
Proceedings of the National Academy of Sciences 118 (22), e2018340118, 2021
82021
Fairness on the ground: Applying algorithmic fairness approaches to production systems
C Bakalar, R Barreto, S Bergman, M Bogen, B Chern, S Corbett-Davies, ...
arXiv preprint arXiv:2103.06172, 2021
82021
Hiring Under Uncertainty
M Purohit, S Gollapudi, M Raghavan
International Conference on Machine Learning, 5181-5189, 2019
52019
Mapping the invocation structure of online political interaction
M Raghavan, A Anderson, J Kleinberg
Proceedings of the 2018 World Wide Web Conference, 629-638, 2018
32018
The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization
J Kleinberg, S Mullainathan, M Raghavan
arXiv preprint arXiv:2202.11776, 2022
12022
Stochastic model for sunk cost bias
J Kleinberg, S Oren, M Raghavan, N Sklar
Uncertainty in Artificial Intelligence, 1279-1288, 2021
12021
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