Biological Neurons Compete with Deep Reinforcement Learning in Sample Efficiency in a Simulated Gameworld

no code implementations • 27 May 2024 • Moein Khajehnejad, Forough Habibollahi, Aswin Paul, Adeel Razi, Brett J. Kagan

How do biological systems and machine learning algorithms compare in the number of samples required to show significant improvements in completing a task?

CrossWalk: Fairness-enhanced Node Representation Learning

1 code implementation • 6 May 2021 • Ahmad Khajehnejad, Moein Khajehnejad, Mahmoudreza Babaei, Krishna P. Gummadi, Adrian Weller, Baharan Mirzasoleiman

The potential for machine learning systems to amplify social inequities and unfairness is receiving increasing popular and academic attention.

Fairness Link Prediction +2

Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks

1 code implementation • 8 May 2020 • Moein Khajehnejad, Ahmad Asgharian Rezaei, Mahmoudreza Babaei, Jessica Hoffmann, Mahdi Jalili, Adrian Weller

We believe we are the first to use embeddings for the task of fair influence maximization.

Clustering Fairness +2

Optimal Decision Making Under Strategic Behavior

1 code implementation • 22 May 2019 • Stratis Tsirtsis, Behzad Tabibian, Moein Khajehnejad, Adish Singla, Bernhard Schölkopf, Manuel Gomez-Rodriguez

Using this characterization, we first show that, in general, we cannot expect to find optimal decision policies in polynomial time and there are cases in which deterministic policies are suboptimal.

Decision Making