131 citations · 302 across the 9 of their papers we have counts for
9 papers
Bridging Prediction and Intervention Problems in Social Systems
Lydia T. Liu, Inioluwa Deborah Raji, Angela Zhou +32
Many automated decision systems (ADS) are designed to solve prediction problems -- where the goal is to learn patterns from a sample of the population and apply them to individuals…
Convolutional LSTM Neural Networks for Modeling Wildland Fire Dynamics
John Burge, Matthew Bonanni, Matthias Ihme +1
As the climate changes, the severity of wildland fires is expected to worsen. Models that accurately capture fire propagation dynamics greatly help efforts for understanding, respo…
What's Sex Got To Do With Fair Machine Learning?
Lily Hu, Issa Kohler-Hausmann
Debate about fairness in machine learning has largely centered around competing definitions of what fairness or nondiscrimination between groups requires. However, little attention…
Fair Classification and Social Welfare
Lily Hu, Yiling Chen
Now that machine learning algorithms lie at the center of many resource allocation pipelines, computer scientists have been unwittingly cast as partial social planners. Given this…
Secure Relaying in Non-Orthogonal Multiple Access: Trusted and Untrusted Scenarios
Ahmed Arafa, Wonjae Shin, Mojtaba Vaezi +1
A downlink single-input single-output non-orthogonal multiple access setting is considered, in which a base station (BS) is communicating with two legitimate users in two possible…
Welfare and Distributional Impacts of Fair Classification
Lily Hu, Yiling Chen
Current methodologies in machine learning analyze the effects of various statistical parity notions of fairness primarily in light of their impacts on predictive accuracy and vendo…
A Short-term Intervention for Long-term Fairness in the Labor Market
Lily Hu, Yiling Chen
The persistence of racial inequality in the U.S. labor market against a general backdrop of formal equality of opportunity is a troubling phenomenon that has significant ramificati…
Activating the "Breakfast Club": Modeling Influence Spread in Natural-World Social Networks
Lily Hu, Bryan Wilder, Amulya Yadav +2
While reigning models of diffusion have privileged the structure of a given social network as the key to informational exchange, real human interactions do not appear to take place…
Fairness at Equilibrium in the Labor Market
Lily Hu, Yiling Chen
Recent literature on computational notions of fairness has been broadly divided into two distinct camps, supporting interventions that address either individual-based or group-base…