
-
Leveraging Expert Consistency to Improve Algorithmic Decision Support
Due to their promise of superior predictive power relative to human asse...
read it
-
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...
read it
-
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...
read it
-
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...
read it
-
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...
read it
-
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...
read it
-
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...
read it
-
What are the biases in my word embedding?
This paper presents an algorithm for enumerating biases in word embeddin...
read it
-
Learning under selective labels in the presence of expert consistency
We explore the problem of learning under selective labels in the context...
read it
-
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...
read it
-
Discovery of Complex Anomalous Patterns of Sexual Violence in El Salvador
When sexual violence is a product of organized crime or social imaginary...
read it
-
Canonical Autocorrelation Analysis
We present an extension of sparse Canonical Correlation Analysis (CCA) d...
read it
-
Lass-0: sparse non-convex regression by local search
We compute approximate solutions to L0 regularized linear regression usi...
read it