Sendhil Mullainathan | DeepAI

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The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization

Online platforms have a wealth of data, run countless experiments and us...

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∙ 10/07/2020

Characterizing the Value of Information in Medical Notes

Machine learning models depend on the quality of input data. As electron...

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∙ 09/08/2020

Quantifying the Causal Effects of Conversational Tendencies

Understanding what leads to effective conversations can aid the design o...

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∙ 08/31/2020

The Data Station: Combining Data, Compute, and Market Forces

This paper introduces Data Stations, a new data architecture that we are...

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∙ 10/15/2019

Measuring the Completeness of Theories

We use machine learning to provide a tractable measure of the amount of ...

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∙ 03/28/2019

The Algorithmic Automation Problem: Prediction, Triage, and Human Effort

In a wide array of areas, algorithms are matching and surpassing the per...

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∙ 02/11/2019

Discrimination in the Age of Algorithms

The law forbids discrimination. But the ambiguity of human decision-maki...

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∙ 12/01/2018

Measuring the Stability of EHR- and EKG-based Predictive Models

Databases of electronic health records (EHRs) are increasingly used to i...

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∙ 12/01/2018

A Probabilistic Model of Cardiac Physiology and Electrocardiograms

An electrocardiogram (EKG) is a common, non-invasive test that measures ...

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∙ 09/12/2018

Simplicity Creates Inequity: Implications for Fairness, Stereotypes, and Interpretability

Algorithmic predictions are increasingly used to aid, or in some cases s...

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∙ 07/04/2018

Direct Uncertainty Prediction with Applications to Healthcare

Large labeled datasets for supervised learning are frequently constructe...

0 Jojo Yun, et al. ∙

∙ 07/05/2017

Machine Learning Tests for Effects on Multiple Outcomes

A core challenge in the analysis of experimental data is that the impact...

0 Jens Ludwig, et al. ∙

∙ 06/21/2017

The Theory is Predictive, but is it Complete? An Application to Human Perception of Randomness

When we test a theory using data, it is common to focus on correctness: ...

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∙ 05/16/2017

Comparison-Based Choices

A broad range of on-line behaviors are mediated by interfaces in which p...

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∙ 09/19/2016

Inherent Trade-Offs in the Fair Determination of Risk Scores

Recent discussion in the public sphere about algorithmic classification ...

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Assessing Human Error Against a Benchmark of Perfection

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