Maria De-Arteaga

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Carnegie Mellon University

Leveraging Expert Consistency to Improve Algorithmic Decision Support

Due to their promise of superior predictive power relative to human asse...
01/24/2021 ∙ by Maria De-Arteaga, et al. ∙ 0 ∙ share

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A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores

The increased use of algorithmic predictions in sensitive domains has be...
02/19/2020 ∙ by Maria De-Arteaga, et al. ∙ 0 ∙ share

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Proceedings of NeurIPS 2019 Workshop on Machine Learning for the Developing World: Challenges and Risks of ML4D

This is the proceedings of the 3rd ML4D workshop which was help in Vanco...
01/01/2020 ∙ by Maria De-Arteaga, et al. ∙ 0 ∙ share

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Killings of social leaders in the Colombian post-conflict: Data analysis for investigative journalism

After the peace agreement of 2016 with FARC, the killings of social lead...
06/19/2019 ∙ by Maria De-Arteaga, et al. ∙ 0 ∙ share

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What's in a Name? Reducing Bias in Bios without Access to Protected Attributes

There is a growing body of work that proposes methods for mitigating bia...
04/10/2019 ∙ by Alexey Romanov, et al. ∙ 12 ∙ share

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Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting

We present a large-scale study of gender bias in occupation classificati...
01/27/2019 ∙ by Maria De-Arteaga, et al. ∙ 36 ∙ share

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Proceedings of NeurIPS 2018 Workshop on Machine Learning for the Developing World: Achieving Sustainable Impact

This is the Proceedings of NeurIPS 2018 Workshop on Machine Learning for...
12/21/2018 ∙ by Maria De-Arteaga, et al. ∙ 0 ∙ share

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What are the biases in my word embedding?

This paper presents an algorithm for enumerating biases in word embeddin...
12/20/2018 ∙ by Nathaniel Swinger, et al. ∙ 0 ∙ share

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Learning under selective labels in the presence of expert consistency

We explore the problem of learning under selective labels in the context...
07/02/2018 ∙ by Maria De-Arteaga, et al. ∙ 0 ∙ share

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Proceedings of NIPS 2017 Workshop on Machine Learning for the Developing World

This is the Proceedings of NIPS 2017 Workshop on Machine Learning for th...
11/27/2017 ∙ by Maria De-Arteaga, et al. ∙ 0 ∙ share

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Discovery of Complex Anomalous Patterns of Sexual Violence in El Salvador

When sexual violence is a product of organized crime or social imaginary...
11/17/2017 ∙ by Maria De-Arteaga, et al. ∙ 0 ∙ share

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Canonical Autocorrelation Analysis

We present an extension of sparse Canonical Correlation Analysis (CCA) d...
11/19/2015 ∙ by Maria De-Arteaga, et al. ∙ 0 ∙ share

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Lass-0: sparse non-convex regression by local search

We compute approximate solutions to L0 regularized linear regression usi...
11/13/2015 ∙ by William Herlands, et al. ∙ 0 ∙ share

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Maria De-Arteaga

Featured Co-authors

Hanna Wallach

Artur Dubrawski

Anna Rumshisky

Alexandra Chouldechova

Adam Tauman Kalai

Krishnaram Kenthapadi

Jennifer Chayes

Christian Borgs

Alexey Romanov

Amanda Coston

William Herlands

Leveraging Expert Consistency to Improve Algorithmic Decision Support

A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores

Proceedings of NeurIPS 2019 Workshop on Machine Learning for the Developing World: Challenges and Risks of ML4D

Killings of social leaders in the Colombian post-conflict: Data analysis for investigative journalism

What's in a Name? Reducing Bias in Bios without Access to Protected Attributes

Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting

Proceedings of NeurIPS 2018 Workshop on Machine Learning for the Developing World: Achieving Sustainable Impact

What are the biases in my word embedding?

Learning under selective labels in the presence of expert consistency

Proceedings of NIPS 2017 Workshop on Machine Learning for the Developing World

Discovery of Complex Anomalous Patterns of Sexual Violence in El Salvador

Canonical Autocorrelation Analysis

Lass-0: sparse non-convex regression by local search