Sotabase

Career

· Drew Houston (2005) Career Development Professor, Massachusetts Institute of Technology2022–
· Postdoctoral Researcher, Harvard University2021–2022
· PhD in Computer Science, Cornell University
· B.S. in Electrical Engineering and Computer Science, University of California, Berkeley

Publications (35)

Inherent Trade-Offs in the Fair Determination of Risk Scores
Information Technology Convergence and Services · 2016
1,949
cited
On Fairness and Calibration
Neural Information Processing Systems · 2017
958
cited
Mitigating bias in algorithmic hiring: evaluating claims and practices
FAT* · 2019
670
cited
Roles for computing in social change
FAT* · 2019
236
cited
The hidden assumptions behind counterfactual explanations and principal reasons
FAT* · 2019
236
cited
How Do Classifiers Induce Agents to Invest Effort Strategically?
ACM Conference on Economics and Computation · 2018
152
cited
Model Multiplicity: Opportunities, Concerns, and Solutions
Conference on Fairness, Accountability and Transparency · 2022
145
cited
Algorithmic monoculture and social welfare
Proceedings of the National Academy of Sciences of the United States of America · 2021
116
cited
Selection Problems in the Presence of Implicit Bias
Information Technology Convergence and Services · 2018
100
cited
The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization
ACM Conference on Economics and Computation · 2022
66
cited
Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness
Conference on Fairness, Accountability and Transparency · 2020
65
cited
The Externalities of Exploration and How Data Diversity Helps Exploitation
Annual Conference Computational Learning Theory · 2018
55
cited
Mitigating Bias in Algorithmic Employment Screening: Evaluating Claims and Practices
Social Science Research Network · 2019
54
cited
Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot Detection
The Web Conference · 2023
37
cited
Planning Problems for Sophisticated Agents with Present Bias
ACM Conference on Economics and Computation · 2016
31
cited
Fairness On The Ground: Applying Algorithmic Fairness Approaches to Production Systems
arXiv.org · 2021
29
cited
Deduplicating a places database
The Web Conference · 2014
27
cited
Planning with Multiple Biases
ACM Conference on Economics and Computation · 2017
24
cited
Hiring Under Uncertainty
International Conference on Machine Learning · 2019
22
cited
Greedy Algorithm almost Dominates in Smoothed Contextual Bandits
SIAM journal on computing (Print) · 2020
19
cited
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Manish Raghavan | Researcher Profile | Sotabase | Sotabase