Search Results for author: Ryan Brown

Found 2 papers, 0 papers with code

Fair Influence Maximization: A Welfare Optimization Approach

no code implementations14 Jun 2020 Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice, Milind Tambe

Under this framework, the trade-off between fairness and efficiency can be controlled by a single inequality aversion design parameter.

Fairness

Uncertainty-based Modulation for Lifelong Learning

no code implementations27 Jan 2020 Andrew Brna, Ryan Brown, Patrick Connolly, Stephen Simons, Renee Shimizu, Mario Aguilar-Simon

The creation of machine learning algorithms for intelligent agents capable of continuous, lifelong learning is a critical objective for algorithms being deployed on real-life systems in dynamic environments.

One-Shot Learning

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