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05/30/2023
Plug-in Performative Optimization
When predictions are performative, the choice of which predictor to depl...
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02/08/2023
Algorithmic Collective Action in Machine Learning
We initiate a principled study of algorithmic collective action on digit...
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12/18/2022
Locally Simultaneous Inference
Selective inference is the problem of giving valid answers to statistica...
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08/02/2022
A Note on Zeroth-Order Optimization on the Simplex
We construct a zeroth-order gradient estimator for a smooth function def...
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02/01/2022
Regret Minimization with Performative Feedback
In performative prediction, the deployment of a predictive model trigger...
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06/23/2021
Who Leads and Who Follows in Strategic Classification?
As predictive models are deployed into the real world, they must increas...
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02/17/2021
Outside the Echo Chamber: Optimizing the Performative Risk
In performative prediction, predictions guide decision-making and hence ...
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02/11/2021
Private Prediction Sets
In real-world settings involving consequential decision-making, the depl...
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11/18/2020
Post-Selection Inference via Algorithmic Stability
Modern approaches to data analysis make extensive use of data-driven mod...
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08/25/2020
Individual Privacy Accounting via a Renyi Filter
We consider a sequential setting in which a single dataset of individual...
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06/12/2020
Stochastic Optimization for Performative Prediction
In performative prediction, the choice of a model influences the distrib...
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02/16/2020
Performative Prediction
When predictions support decisions they may influence the outcome they a...
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10/11/2019
The Power of Batching in Multiple Hypothesis Testing
One important partition of algorithms for controlling the false discover...
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01/30/2019
Natural Analysts in Adaptive Data Analysis
Adaptive data analysis is frequently criticized for its pessimistic gene...
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12/12/2018
Asynchronous Online Testing of Multiple Hypotheses
We consider the problem of asynchronous online testing, aimed at providi...
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02/25/2018