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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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Collaborative Learning of Distributions under Heterogeneity and Communication Constraints


Jun 07, 2022
Xinmeng Huang, Donghwan Lee, Edgar Dobriban, Hamed Hassani

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Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds


Jun 06, 2022
Aritra Mitra, Arman Adibi, George J. Pappas, Hamed Hassani

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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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Self-Consistency of the Fokker-Planck Equation


Jun 02, 2022
Zebang Shen, Zhenfu Wang, Satyen Kale, Alejandro Ribeiro, Aim Karbasi, Hamed Hassani

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* Accepted to COLT 2022. The code can be found at https://github.com/shenzebang/self-consistency-jax 

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FedAvg with Fine Tuning: Local Updates Lead to Representation Learning


May 27, 2022
Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai

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Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents


Apr 07, 2022
Arman Adibi, Aritra Mitra, George J. Pappas, Hamed Hassani

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Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding


Apr 04, 2022
Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti

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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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