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A Risk-Sensitive Approach to Policy Optimization


Aug 19, 2022
Jared Markowitz, Ryan W. Gardner, Ashley Llorens, Raman Arora, I-Jeng Wang


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Faster Rates of Convergence to Stationary Points in Differentially Private Optimization


Jun 02, 2022
Raman Arora, Raef Bassily, Tom谩s Gonz谩lez, Crist贸bal Guzm谩n, Michael Menart, Enayat Ullah


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Differentially Private Generalized Linear Models Revisited


May 06, 2022
Raman Arora, Raef Bassily, Crist贸bal Guzm谩n, Michael Menart, Enayat Ullah


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Machine Unlearning via Algorithmic Stability


Feb 25, 2021
Enayat Ullah, Tung Mai, Anup Rao, Ryan Rossi, Raman Arora


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On Convergence and Generalization of Dropout Training


Oct 23, 2020
Poorya Mianjy, Raman Arora

* In Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2020 

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Adversarial Robustness of Supervised Sparse Coding


Oct 22, 2020
Jeremias Sulam, Ramchandran Muthumukar, Raman Arora

* Advances in Neural Information Processing Systems, 2020 

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FetchSGD: Communication-Efficient Federated Learning with Sketching


Jul 15, 2020
Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Vladimir Braverman, Joseph Gonzalez, Raman Arora


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Corralling Stochastic Bandit Algorithms


Jun 28, 2020
Raman Arora, Teodor V. Marinov, Mehryar Mohri


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Is Network the Bottleneck of Distributed Training?


Jun 24, 2020
Zhen Zhang, Chaokun Chang, Haibin Lin, Yida Wang, Raman Arora, Xin Jin


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