94 citations · 270 across the 17 of their papers we have counts for
4 papers · 1 filter
Safely Learning to Control the Constrained Linear Quadratic Regulator
Sarah Dean, Stephen Tu, Nikolai Matni +1
We study the constrained linear quadratic regulator with unknown dynamics, addressing the tension between safety and exploration in data-driven control techniques. We present a fra…
A Broader View on Bias in Automated Decision-Making: Reflecting on Epistemology and Dynamics
Roel Dobbe, Sarah Dean, Thomas Gilbert +1
Machine learning (ML) is increasingly deployed in real world contexts, supplying actionable insights and forming the basis of automated decision-making systems. While issues result…
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator
Sarah Dean, Horia Mania, Nikolai Matni +2
We consider adaptive control of the Linear Quadratic Regulator (LQR), where an unknown linear system is controlled subject to quadratic costs. Leveraging recent developments in the…
Delayed Impact of Fair Machine Learning
Lydia T. Liu, Sarah Dean, Esther Rolf +2
Fairness in machine learning has predominantly been studied in static classification settings without concern for how decisions change the underlying population over time. Conventi…