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Ramtin Pedarsani

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Generalization Properties of Adversarial Training for $\ell_0$-Bounded Adversarial Attacks

Feb 05, 2024
Payam Delgosha, Hamed Hassani, Ramtin Pedarsani

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Learning to Understand: Identifying Interactions via the Mobius Transform

Feb 04, 2024
Justin S. Kang, Yigit E. Erginbas, Landon Butler, Ramtin Pedarsani, Kannan Ramchandran

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Inverse Reinforcement Learning by Estimating Expertise of Demonstrators

Feb 02, 2024
Mark Beliaev, Ramtin Pedarsani

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The Fair Value of Data Under Heterogeneous Privacy Constraints

Jan 30, 2023
Justin Kang, Ramtin Pedarsani, Kannan Ramchandran

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Learning-based social coordination to improve safety and robustness of cooperative autonomous vehicles in mixed traffic

Nov 22, 2022
Rodolfo Valiente, Behrad Toghi, Mahdi Razzaghpour, Ramtin Pedarsani, Yaser P. Fallah

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Equal Improvability: A New Fairness Notion Considering the Long-term Impact

Oct 13, 2022
Ozgur Guldogan, Yuchen Zeng, Jy-yong Sohn, Ramtin Pedarsani, Kangwook Lee

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An Optimal Transport Approach to Personalized Federated Learning

Jun 06, 2022
Farzan Farnia, Amirhossein Reisizadeh, Ramtin Pedarsani, Ali Jadbabaie

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Straggler-Resilient Personalized Federated Learning

Jun 05, 2022
Isidoros Tziotis, Zebang Shen, Ramtin Pedarsani, Hamed Hassani, Aryan Mokhtari

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Binary Classification Under $\ell_0$ Attacks for General Noise Distribution

Mar 09, 2022
Payam Delgosha, Hamed Hassani, Ramtin Pedarsani

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Imitation Learning by Estimating Expertise of Demonstrators

Feb 02, 2022
Mark Beliaev, Andy Shih, Stefano Ermon, Dorsa Sadigh, Ramtin Pedarsani

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