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Streaming symmetric norms via measure concentration.

J. Blasiok, V. Braverman, S. Chestnut, R. Krauthgamer, and L. Yang. STOC, page 716-729. ACM, (2017)

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Sigrun H Braverman

Vladimir Legradi

Vladimir Spasitsch

Vladimir Oreskovic

Vladimir Spokoiny

Other publications of authors with the same name

Near Optimal Linear Algebra in the Online and Sliding Window Models.V. Braverman, P. Drineas, C. Musco, C. Musco, J. Upadhyay, D. Woodruff, and S. Zhou. FOCS, page 517-528. IEEE, (2020)QPipe: quantiles sketch fully in the data plane.N. Ivkin, Z. Yu, V. Braverman, and X. Jin. CoNEXT, page 285-291. ACM, (2019)Near-Optimal Entrywise Sampling of Numerically Sparse Matrices.V. Braverman, R. Krauthgamer, A. Krishnan, and S. Sapir. CoRR, (2020)Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging.G. Zheng, S. Zhou, V. Braverman, M. Jacobs, and V. Parekh. MIDL, volume 227 of Proceedings of Machine Learning Research, page 1751-1764. PMLR, (2023)Universal Sketches for the Frequency Negative Moments and Other Decreasing Streaming Sums.V. Braverman, and S. Chestnut. APPROX-RANDOM, volume 40 of LIPIcs, page 591-605. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2015)Symmetric Norm Estimation and Regression on Sliding Windows.V. Braverman, V. Wei, and S. Zhou. COCOON, volume 13025 of Lecture Notes in Computer Science, page 528-539. Springer, (2021)AutoCoreset: An Automatic Practical Coreset Construction Framework.A. Maalouf, M. Tukan, V. Braverman, and D. Rus. ICML, volume 202 of Proceedings of Machine Learning Research, page 23451-23466. PMLR, (2023)Last Iterate Risk Bounds of SGD with Decaying Stepsize for Overparameterized Linear Regression.J. Wu, D. Zou, V. Braverman, Q. Gu, and S. Kakade. ICML, volume 162 of Proceedings of Machine Learning Research, page 24280-24314. PMLR, (2022)Adversarial Robustness of Streaming Algorithms through Importance Sampling.V. Braverman, A. Hassidim, Y. Matias, M. Schain, S. Silwal, and S. Zhou. NeurIPS, page 3544-3557. (2021)Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning.J. Wu, V. Braverman, and L. Yang. NeurIPS, page 13112-13124. (2021)

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Disambiguation of "Braverman, Vladimir"

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Streaming symmetric norms via measure concentration.

Please choose a person to relate this publication to

Sigrun H Braverman

Vladimir Legradi

Vladimir Spasitsch

Vladimir Oreskovic

Vladimir Spokoiny

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Braverman, Vladimir"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Streaming symmetric norms via measure concentration.

Please choose a person to relate this publication to

Sigrun H Braverman

Vladimir Legradi

Vladimir Spasitsch

Vladimir Oreskovic

Vladimir Spokoiny

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Streaming symmetric norms via measure concentration.