Maria De-Arteaga

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The University of Texas at Austin ∙ Carnegie Mellon University

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Diversity in Sociotechnical Machine Learning Systems

There has been a surge of recent interest in sociocultural diversity in ...
07/19/2021 ∙ by Sina Fazelpour, et al. ∙ 0 ∙ share

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Human-AI Collaboration with Bandit Feedback

Human-machine complementarity is important when neither the algorithm no...
05/22/2021 ∙ by Ruijiang Gao, et al. ∙ 0 ∙ share

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The effect of differential victim crime reporting on predictive policing systems

Police departments around the world have been experimenting with forms o...
01/30/2021 ∙ by Nil-Jana Akpinar, et al. ∙ 0 ∙ share

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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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