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Picture for Vladimir Braverman

Cross-Domain Federated Learning in Medical Imaging


Dec 18, 2021
Vishwa S Parekh, Shuhao Lai, Vladimir Braverman, Jeff Leal, Steven Rowe, Jay J Pillai, Michael A Jacobs

* Under Review for MIDL 2022 

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Last Iterate Risk Bounds of SGD with Decaying Stepsize for Overparameterized Linear Regression


Oct 12, 2021
Jingfeng Wu, Difan Zou, Vladimir Braverman, Quanquan Gu, Sham M. Kakade

* 40 pages, 2 figures 

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Gap-Dependent Unsupervised Exploration for Reinforcement Learning


Aug 11, 2021
Jingfeng Wu, Vladimir Braverman, Lin F. Yang


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The Benefits of Implicit Regularization from SGD in Least Squares Problems


Aug 10, 2021
Difan Zou, Jingfeng Wu, Vladimir Braverman, Quanquan Gu, Dean P. Foster, Sham M. Kakade

* 39 pages, 1 figure 

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Adversarial Robustness of Streaming Algorithms through Importance Sampling


Jun 28, 2021
Vladimir Braverman, Avinatan Hassidim, Yossi Matias, Mariano Schain, Sandeep Silwal, Samson Zhou


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Lifelong Learning with Sketched Structural Regularization


Apr 17, 2021
Haoran Li, Aditya Krishnan, Jingfeng Wu, Soheil Kolouri, Praveen K. Pilly, Vladimir Braverman


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Benign Overfitting of Constant-Stepsize SGD for Linear Regression


Mar 23, 2021
Difan Zou, Jingfeng Wu, Vladimir Braverman, Quanquan Gu, Sham M. Kakade

* 53 pages 

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Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning


Nov 25, 2020
Jingfeng Wu, Vladimir Braverman, Lin F. Yang


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Sketch and Scale: Geo-distributed tSNE and UMAP


Nov 11, 2020
Viska Wei, Nikita Ivkin, Vladimir Braverman, Alexander Szalay

* IEEE BigData2020 conference 

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Direction Matters: On the Implicit Regularization Effect of Stochastic Gradient Descent with Moderate Learning Rate


Nov 04, 2020
Jingfeng Wu, Difan Zou, Vladimir Braverman, Quanquan Gu


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Data-Independent Structured Pruning of Neural Networks via Coresets


Aug 19, 2020
Ben Mussay, Daniel Feldman, Samson Zhou, Vladimir Braverman, Margarita Osadchy


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Obtaining Adjustable Regularization for Free via Iterate Averaging


Aug 15, 2020
Jingfeng Wu, Vladimir Braverman, Lin F. Yang

* ICML 2020 camera ready 

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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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Multiparametric Deep Learning Tissue Signatures for Muscular Dystrophy: Preliminary Results


Aug 01, 2019
Alex E. Bocchieri, Vishwa S. Parekh, Kathryn R. Wagner. Shivani Ahlawat, Vladimir Braverman, Doris G. Leung, Michael A. Jacobs

* 6 pages, 3 figures. MIDL 2019 [arXiv:1907.08612] 

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On Activation Function Coresets for Network Pruning


Jul 09, 2019
Ben Mussay, Samson Zhou, Vladimir Braverman, Dan Feldman


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Streaming Quantiles Algorithms with Small Space and Update Time


Jun 29, 2019
Nikita Ivkin, Edo Liberty, Kevin Lang, Zohar Karnin, Vladimir Braverman


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Communication-efficient distributed SGD with Sketching


Mar 12, 2019
Nikita Ivkin, Daniel Rothchild, Enayat Ullah, Vladimir Braverman, Ion Stoica, Raman Arora

* 21 pages, 6 figures 

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DreamNLP: Novel NLP System for Clinical Report Metadata Extraction using Count Sketch Data Streaming Algorithm: Preliminary Results


Aug 26, 2018
Sanghyun Choi, Nikita Ivkin, Vladimir Braverman, Michael A. Jacobs

* 13 pages, 3 figures, US patent 

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Online Factorization and Partition of Complex Networks From Random Walks


Dec 11, 2017
Lin F. Yang, Vladimir Braverman, Tuo Zhao, Mengdi Wang


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