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Alexander Robey

Probable Domain Generalization via Quantile Risk Minimization


Jul 20, 2022
Cian Eastwood, Alexander Robey, Shashank Singh, Julius von Kügelgen, Hamed Hassani, George J. Pappas, Bernhard Schölkopf

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Toward Certified Robustness Against Real-World Distribution Shifts


Jun 09, 2022
Haoze Wu, Teruhiro Tagomori, Alexander Robey, Fengjun Yang, Nikolai Matni, George Pappas, Hamed Hassani, Corina Pasareanu, Clark Barrett

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* Under submission 
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Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural Networks


Apr 02, 2022
Anton Xue, Lars Lindemann, Alexander Robey, Hamed Hassani, George J. Pappas, Rajeev Alur

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Do Deep Networks Transfer Invariances Across Classes?


Mar 18, 2022
Allan Zhou, Fahim Tajwar, Alexander Robey, Tom Knowles, George J. Pappas, Hamed Hassani, Chelsea Finn

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Probabilistically Robust Learning: Balancing Average- and Worst-case Performance


Feb 02, 2022
Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani

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Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations


Nov 18, 2021
Lars Lindemann, Alexander Robey, Lejun Jiang, Stephen Tu, Nikolai Matni

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* 30 pages, submitted to the IEEE Transactions on Automatic Control 
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Adversarial Robustness with Semi-Infinite Constrained Learning


Oct 29, 2021
Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani, Alejandro Ribeiro

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Model-Based Domain Generalization


Feb 23, 2021
Alexander Robey, George J. Pappas, Hamed Hassani

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Closing the Closed-Loop Distribution Shift in Safe Imitation Learning


Feb 18, 2021
Stephen Tu, Alexander Robey, Nikolai Matni

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Learning Robust Hybrid Control Barrier Functions for Uncertain Systems


Jan 16, 2021
Alexander Robey, Lars Lindemann, Stephen Tu, Nikolai Matni

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* 17 pages, 7th IFAC Conference on Analysis and Design of Hybrid Systems (submitted). arXiv admin note: text overlap with arXiv:2011.04112 
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