Sarah Dean


sarahdean AT eecs DOT berkeley DOT edu

Sarah Dean

I am a PhD student in EECS at UC Berkeley, working with Ben Recht and affiliated with BAIR and BCCI. I am funded by a Berkeley fellowship and the NSF graduate research fellowship.* I am interested in the intersection of optimal control and learning, as well as applied optimization in computational imaging and machine learning. I am a founding member of Graduates for Engaged and Extended Scholarship in computing and Engineering (GEESE).

I graduated from the University of Pennsylvania in 2016, where I studied electrical engineering and math and had the pleasure of working with professors Daniel Lee and Daniel Koditschek. During my time at Penn, I worked as a teaching assistant for several math and engineering courses and became engaged in service learning through my involvement with the West Philadelphia Tutoring Project at Civic House. I grew up in upstate New York, and I like to spend my time pretending to be athletic outside: hiking, biking, sailing, swimming, cross country skiing, climbing.

Research

On the Sample Complexity of the Linear Quadratic Regulator [arXiv]
Sarah Dean, Horia Mania, Nikolai Matni, Benjamin Recht, and Stephen Tu
under review.

Delayed Impact of Fair Machine Learning [arXiv] [Bloomberg] [BAIR Blog]
Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, and Moritz Hardt
to appear at ICML 2018.

The Epistemology and Dynamics of Automated Decision-Making
Roel Dobbe, Sarah Dean, Thomas Gilbert, and Nitin Kohli
to appear at FATML 2018.

Optimal Path and Illumination Design for Multiframe Motion Deblurring
Sarah Dean, Zachary Phillips, Laura Waller, and Benjamin Recht
to appear at OSA Imaging and Applied Optics Congress, Imaging Systems and Applications 2018.

Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator [arXiv]
Sarah Dean, Horia Mania, Nikolai Matni, Benjamin Recht, and Stephen Tu
under review.

*I have made my application available for reference here.

a woman among giants
Last updated 24 May 2018.