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09/08/2023
On the Actionability of Outcome Prediction
Predicting future outcomes is a prevalent application of machine learnin...
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09/08/2022
Lost in Translation: Reimagining the Machine Learning Life Cycle in Education
Machine learning (ML) techniques are increasingly prevalent in education...
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09/16/2021
Strategic Ranking
Strategic classification studies the design of a classifier robust to th...
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12/14/2020
Bandit Learning in Decentralized Matching Markets
We study two-sided matching markets in which one side of the market (the...
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03/15/2020
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning
While real-world decisions involve many competing objectives, algorithmi...
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10/04/2019
The Disparate Equilibria of Algorithmic Decision Making when Individuals Invest Rationally
The long-term impact of algorithmic decision making is shaped by the dyn...
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06/12/2019
Competing Bandits in Matching Markets
Stable matching, a classical model for two-sided markets, has long been ...
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12/20/2018
Steerable ePCA
In photon-limited imaging, the pixel intensities are affected by photon ...
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08/29/2018
Group calibration is a byproduct of unconstrained learning
Much recent work on fairness in machine learning has focused on how well...
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03/25/2018
Minimizing Nonconvex Population Risk from Rough Empirical Risk
Population risk---the expectation of the loss over the sampling mechanis...
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03/12/2018