Michael Mitzenmacher

Michael Mitzenmacher

Harvard University

H-index: 90

North America-United States

About Michael Mitzenmacher

Michael Mitzenmacher, With an exceptional h-index of 90 and a recent h-index of 47 (since 2020), a distinguished researcher at Harvard University, specializes in the field of Randomized Algorithms, Internet Algorithms, Networking, Information Theory.

His recent articles reflect a diverse array of research interests and contributions to the field:

Optimal and Near-Optimal Adaptive Vector Quantization

{THC}: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression

SkipPredict: When to Invest in Predictions for Scheduling

Accelerating Federated Learning with Quick Distributed Mean Estimation

Direct Telemetry Access

SNARF: a learning-enhanced range filter

Designing sensitive viral diagnostics with machine learning

Can Learned Models Replace Hash Functions?

Michael Mitzenmacher Information

University

Position

Professor of Computer Science

Citations(all)

47728

Citations(since 2020)

13258

Cited By

39871

hIndex(all)

90

hIndex(since 2020)

47

i10Index(all)

265

i10Index(since 2020)

159

Email

University Profile Page

Harvard University

Google Scholar

View Google Scholar Profile

Michael Mitzenmacher Skills & Research Interests

Randomized Algorithms

Internet Algorithms

Networking

Information Theory

Top articles of Michael Mitzenmacher

Title

Journal

Author(s)

Publication Date

Optimal and Near-Optimal Adaptive Vector Quantization

arXiv preprint arXiv:2402.03158

Ran Ben-Basat

Yaniv Ben-Itzhak

Michael Mitzenmacher

Shay Vargaftik

2024/2/5

{THC}: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression

Minghao Li

Ran Ben Basat

Shay Vargaftik

ChonLam Lao

Kevin Xu

...

2024

SkipPredict: When to Invest in Predictions for Scheduling

arXiv preprint arXiv:2402.03564

Rana Shahout

Michael Mitzenmacher

2024/2/5

Accelerating Federated Learning with Quick Distributed Mean Estimation

Ran Ben-Basat

Amit Portnoy

Gil Einziger

Yaniv Ben-Itzhak

Michael Mitzenmacher

2023/10/13

Direct Telemetry Access

Jonatan Langlet

Ran Ben Basat

Gabriele Oliaro

Michael Mitzenmacher

Minlan Yu

...

2023/9/10

SNARF: a learning-enhanced range filter

Proceedings of the VLDB Endowment

Kapil Vaidya

Subarna Chatterjee

Eric Knorr

Michael Mitzenmacher

Stratos Idreos

...

2022/4/1

Designing sensitive viral diagnostics with machine learning

Nature biotechnology

Hayden C Metsky

Nicole L Welch

Priya P Pillai

Nicholas J Haradhvala

Laurie Rumker

...

2022/7

Can Learned Models Replace Hash Functions?

Proceedings of the VLDB Endowment

Ibrahim Sabek

Kapil Vaidya

Dominik Horn

Andreas Kipf

Michael Mitzenmacher

...

2022/11

Tabula: Efficiently computing nonlinear activation functions for secure neural network inference

arXiv preprint arXiv:2203.02833

Maximilian Lam

Michael Mitzenmacher

Vijay Janapa Reddi

Gu-Yeon Wei

David Brooks

2022/3/5

Eden: Communication-efficient and robust distributed mean estimation for federated learning

Shay Vargaftik

Ran Ben Basat

Amit Portnoy

Gal Mendelson

Yaniv Ben Itzhak

...

2022/6/28

QUIC-FL:: Quick Unbiased Compression for Federated Learning

Ran Ben-Basat

Shay Vargaftik

Amit Portnoy

Gil Einziger

Yaniv Ben-Itzhak

...

2022/9/29

Incentive Compatible Queues Without Money

arXiv preprint arXiv:2202.05747

Isaac Grosof

Michael Mitzenmacher

2022/2/11

Algorithms with predictions

Communications of the ACM

Michael Mitzenmacher

Sergei Vassilvitskii

2022/6/21

Algorithmic tools for understanding the motif structure of networks

Tianyi Chen

Brian Matejek

Michael Mitzenmacher

Charalampos E Tsourakakis

2022/9/19

The supermarket model with known and predicted service times

IEEE Transactions on Parallel and Distributed Systems

Michael Mitzenmacher

Matteo Dell'Amico

2022/1/27

Proteus: A self-designing range filter

Eric R Knorr

Baptiste Lemaire

Andrew Lim

Siqiang Luo

Huanchen Zhang

...

2022/6/10

Edge-colored directed subgraph enumeration on the connectome

Scientific Reports

Brian Matejek

Donglai Wei

Tianyi Chen

Charalampos E Tsourakakis

Michael Mitzenmacher

...

2022/7/5

Communication-efficient federated learning via robust distributed mean estimation

Shay Vargaftik

Ran Ben Basat

Amit Portnoy

Gal Mendelson

Yaniv Ben-Itzhak

...

2022

FRANCIS: Fast Reaction Algorithms for Network Coordination In Switches

arXiv preprint arXiv:2204.14138

Wenchen Han

Vic Feng

Gregory Schwartzman

Michael Mitzenmacher

Minlan Yu

...

2022/4/29

The magazine archive includes every article published in Communications of the ACM for over the past 50 years.

Communications of the ACM

Gary Lewandowski

Dennis J Bouvier

Tzu-Yi Chen

Robert McCartney

Kate Sanders

...

2010/7

See List of Professors in Michael Mitzenmacher University(Harvard University)

Co-Authors

H-index: 90
George Varghese

George Varghese

University of California, Los Angeles

H-index: 85
S Muthukrishnan

S Muthukrishnan

Rutgers, The State University of New Jersey

H-index: 81
Muriel Medard

Muriel Medard

Massachusetts Institute of Technology

H-index: 72
Michael T. Goodrich

Michael T. Goodrich

University of California, Irvine

H-index: 71
Amin Shokrollahi

Amin Shokrollahi

École Polytechnique Fédérale de Lausanne

H-index: 65
Michalis Faloutsos

Michalis Faloutsos

University of California, Riverside

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