Sarah Dean
Cited by
Cited by
On the sample complexity of the linear quadratic regulator
S Dean, H Mania, N Matni, B Recht, S Tu
Foundations of Computational Mathematics, 1-47, 2019
Delayed impact of fair machine learning
LT Liu, S Dean, E Rolf, M Simchowitz, M Hardt
International Conference on Machine Learning, 3150-3158, 2018
Regret bounds for robust adaptive control of the linear quadratic regulator
S Dean, H Mania, N Matni, B Recht, S Tu
Advances in Neural Information Processing Systems, 4188-4197, 2018
Safely learning to control the constrained linear quadratic regulator
S Dean, S Tu, N Matni, B Recht
2019 American Control Conference (ACC), 5582-5588, 2019
A Broader View on Bias in Automated Decision-Making: Reflecting on Epistemology and Dynamics
R Dobbe, S Dean, T Gilbert, N Kohli
arXiv preprint arXiv:1807.00553, 2018
Robust guarantees for perception-based control
S Dean, N Matni, B Recht, V Ye
Learning for Dynamics and Control, 350-360, 2020
Recommendations and user agency: the reachability of collaboratively-filtered information
S Dean, S Rich, B Recht
Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020
Balancing competing objectives with noisy data: Score-based classifiers for welfare-aware machine learning
E Rolf, M Simchowitz, S Dean, LT Liu, D Bjorkegren, M Hardt, ...
International Conference on Machine Learning, 8158-8168, 2020
Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions
S Dean, AJ Taylor, RK Cosner, B Recht, AD Ames
arXiv preprint arXiv:2010.16001, 2020
Certainty equivalent perception-based control
S Dean, B Recht
Learning for Dynamics and Control, 399-411, 2021
Do Offline Metrics Predict Online Performance in Recommender Systems?
K Krauth, S Dean, A Zhao, W Guo, M Curmei, B Recht, MI Jordan
arXiv preprint arXiv:2011.07931, 2020
Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with Actuation Uncertainty
AJ Taylor, VD Dorobantu, S Dean, B Recht, Y Yue, AD Ames
arXiv preprint arXiv:2011.10730, 2020
Designing Recommender Systems with Reachability in Mind
S Dean, M Curmei, B Recht
Workshop on Participatory Approaches to Machine Learning, 2020
AI development for the public interest: From abstraction traps to sociotechnical risks
MK Andrus, S Dean, TK Gilbert, N Lambert, T Zick
2020 IEEE International Symposium on Technology and Society (ISTAS), 72-79, 2020
High-throughput fluorescence microscopy using multi-frame motion deblurring
ZF Phillips, S Dean, B Recht, L Waller
Biomedical Optics Express 11 (1), 281-300, 2020
Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability
M Curmei, S Dean, B Recht
International Conference on Machine Learning, 2265-2275, 2021
Models of Ice Skating for the Development of Robotic Ice Skating Gaits
D Quillen, S Dean
Axes for Sociotechnical Inquiry in AI Research
S Dean, TK Gilbert, N Lambert, T Zick
IEEE Transactions on Technology and Society 2 (2), 62-70, 2021
Optimal Path and Illumination Design for Multiframe Motion Deblurring
S Dean, Z Phillips, L Waller, B Recht
Imaging Systems and Applications, ITu2B. 4, 2018
On the Sample Complexity of the Linear Quadratic Regulator Working Draft
S Dean, H Mania, N Matni, B Recht, S Tu
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