Home Research-feed Channel Rankings GCT THU AI TR Open Data Must Reading

views: 118

Vladimir Braverman

Associate Professor

Johns Hopkins University

Sign in to view more

Show Academic Trajectory

Ego Network

D-Core

Research Interests

Author Statistics

Experience

Education

Bio

Sublinear algorithms (sketches, coresets) and their application in machine learning, networking and medical imaging.

Papers108 papers

Sort

By YearBy Citation

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

Jingfeng Wu,Difan Zou,Vladimir Braverman,Quanquan Gu

ICLR 2021, (2021)

Bibtex

Sparse Coresets for SVD on Infinite Streams

Braverman Vladimir,Feldman Dan, Lang Harry,Rus Daniela, Statman Adiel

Bibtex

Communication-Efficient Federated Learning with Sketching

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

international conference on machine learning, (2020)

Bibtex

Sketch and Scale: Geo-distributed tSNE and UMAP

Viska Wei, Nikita Ivkin,Vladimir Braverman,Alexander Szalay

Bibtex

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

Jingfeng Wu,Vladimir Braverman,Lin F. Yang

Bibtex

Near-Optimal Entrywise Sampling of Numerically Sparse Matrices

Vladimir Braverman,Robert Krauthgamer, Aditya Krishnan, Shay Sapir

Bibtex

FetchSGD: Communication-Efficient Federated Learning with Sketching

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

ICML, pp.8253-8265, (2020)

EIBibtex

Data-Independent Neural Pruning via Coresets

Ben Mussay, Margarita Osadchy,Vladimir Braverman,Samson Zhou,Dan Feldman

ICLR, (2020)

Cited by1EIBibtex

Data-Independent Structured Pruning of Neural Networks via Coresets

Ben Mussay, Daniel Feldman,Samson Zhou,Vladimir Braverman, Margarita Osadchy

Bibtex

Multitask radiological modality invariant landmark localization using deep reinforcement learning

Vishwa S. Parekh, Alex E. Bocchieri,Vladimir Braverman,Michael A. Jacobs

MIDL, pp.588-600, (2020)

EIBibtex

Communication Efficient Federated Learning with Sketching

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

(2020)

Bibtex

NetLock: Fast, Centralized Lock Management Using Programmable Switches

Zhuolong Yu,Yiwen Zhang,Vladimir Braverman,Mosharaf Chowdhury,Xin Jin

SIGCOMM '20: Annual conference of the ACM Special Interest Group on Data Communication on the applic..., pp.126-138, (2020)

EIBibtex

Memory-Efficient Performance Monitoring on Programmable Switches with Lean Algorithms

Zaoxing Liu,Samson Zhou,Ori Rottenstreich,Vladimir Braverman,Jennifer Rexford

APOCS, pp.31-44, (2020)

Cited by2EIBibtex

I Know What You Did Last Summer: Network Monitoring using Interval Queries

Nikita Ivkin,Ran Ben Basat, Zaoxing Liu,Gil Einziger,Roy Friedman,Vladimir Braverman

Special Interest Group on Measurement and Evaluation, no. 1 (2020): 61-62

EIBibtex

I Know What You Did Last Summer: Network Monitoring using Interval Queries

Nikita Ivkin,Ran Ben Basat, Zaoxing Liu,Gil Einziger,Roy Friedman,Vladimir Braverman

SIGMETRICS '20: ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Sy..., pp.61-62, (2020)

Cited by1EIBibtex

FetchSGD: Communication-Efficient Federated Learning with Sketching

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

ICML 2020, (2020)

Cited by2Bibtex

On the Noisy Gradient Descent that Generalizes as SGD

Jingfeng Wu,Wenqing Hu,Haoyi Xiong,Jun Huan,Vladimir Braverman,Zhanxing Zhu

ICML, pp.10367-10376, (2020)

Cited by2EIBibtex

Obtaining Adjustable Regularization for Free via Iterate Averaging

Jingfeng Wu,Vladimir Braverman,Lin Yang

ICML, pp.10344-10354, (2020)

EIBibtex

Coresets for Clustering in Graphs of Bounded Treewidth

Daniel Baker,Vladimir Braverman,Lingxiao Huang,Shaofeng H.-C. Jiang,Robert Krauthgamer,Xuan Wu

ICML, pp.569-579, (2020)

EIBibtex

Longitudinal functional and imaging outcome measures in FKRP limb-girdle muscular dystrophy

Doris G Leung, Alex E Bocchieri,Shivani Ahlawat,Michael A Jacobs,Vishwa S Parekh,Vladimir Braverman, Katherine Summerton, Jennifer Mansour, Genila Bibat, Carl Morris, Shannon Marraffino,Kathryn R Wagner

BMC Neurology, no. 1 (2020): 1-12

WOSBibtex

View All

Base Info Papers Patents Projects