Andrew McGregor

Andrew McGregor

University of Massachusetts Amherst

H-index: 42

North America-United States

About Andrew McGregor

Andrew McGregor, With an exceptional h-index of 42 and a recent h-index of 29 (since 2020), a distinguished researcher at University of Massachusetts Amherst, specializes in the field of Algorithms, Theoretical Computer Science.

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

Improved Algorithms for Maximum Coverage in Dynamic and Random Order Streams

Tight Approximations for Graphical House Allocation

Non-adaptive edge counting and sampling via bipartite independent set queries

Improved approximation and scalability for fair max-min diversification

Graph reconstruction from random subgraphs

Estimation of entropy in constant space with improved sample complexity

Improving the Efficiency of the PC Algorithm by Using Model-Based Conditional Independence Tests

Cache me outside: A new look at DNS cache probing

Andrew McGregor Information

University

Position

___

Citations(all)

7214

Citations(since 2020)

3031

Cited By

5534

hIndex(all)

42

hIndex(since 2020)

29

i10Index(all)

81

i10Index(since 2020)

63

Email

University Profile Page

University of Massachusetts Amherst

Google Scholar

View Google Scholar Profile

Andrew McGregor Skills & Research Interests

Algorithms

Theoretical Computer Science

Top articles of Andrew McGregor

Title

Journal

Author(s)

Publication Date

Improved Algorithms for Maximum Coverage in Dynamic and Random Order Streams

arXiv preprint arXiv:2403.14087

Amit Chakrabarti

Andrew McGregor

Anthony Wirth

2024/3/21

Tight Approximations for Graphical House Allocation

arXiv preprint arXiv:2307.12482

Hadi Hosseini

Andrew McGregor

Rik Sengupta

Rohit Vaish

Vignesh Viswanathan

2023/7/24

Non-adaptive edge counting and sampling via bipartite independent set queries

arXiv preprint arXiv:2207.02817

Raghavendra Addanki

Andrew McGregor

Cameron Musco

2022/7/6

Improved approximation and scalability for fair max-min diversification

Raghavendra Addanki

Andrew McGregor

Alexandra Meliou

Zafeiria Moumoulidou

2022

Graph reconstruction from random subgraphs

Andrew McGregor

Rik Sengupta

2022

Estimation of entropy in constant space with improved sample complexity

Advances in Neural Information Processing Systems

Maryam Aliakbarpour

Andrew McGregor

Jelani Nelson

Erik Waingarten

2022/12/6

Improving the Efficiency of the PC Algorithm by Using Model-Based Conditional Independence Tests

arXiv preprint arXiv:2211.06536

Erica Cai

Andrew McGregor

David Jensen

2022/11/12

Cache me outside: A new look at DNS cache probing

Proc. Passive and Active Measurement Conference (PAM). Virtual

Andrew McGregor

Phillipa Gill

Nicholas Weaver

2021/3/29

Cluster trellis: Data structures & algorithms for exact inference in hierarchical clustering

Sebastian Macaluso

Craig Greenberg

Nicholas Monath

Ji Ah Lee

Patrick Flaherty

...

2021/3/18

Trace reconstruction: Generalized and parameterized

IEEE Transactions on Information Theory

Akshay Krishnamurthy

Arya Mazumdar

Andrew McGregor

Soumyabrata Pal

2021/3/17

Intervention efficient algorithms for approximate learning of causal graphs

Raghavendra Addanki

Andrew McGregor

Cameron Musco

2021/3/1

PredictRoute: a network path prediction toolkit

Proceedings of the ACM on Measurement and Analysis of Computing Systems

Rachee Singh

David Tench

Phillipa Gill

Andrew McGregor

2021/6/3

Maximum coverage in the data stream model: Parameterized and generalized

arXiv preprint arXiv:2102.08476

Andrew McGregor

David Tench

Hoa T Vu

2021/2/16

Guest Editorial Special Issue:“From Deletion-Correction to Graph Reconstruction: In Memory of Vladimir I. Levenshtein”

IEEE Transactions on Information Theory

Alexander Barg

Lara Dolecek

Ryan Gabrys

Gyula OH Katona

János Körner

...

2021/5/20

Algebraic and analytic approaches for parameter learning in mixture models

Akshay Krishnamurthy

Arya Mazumdar

Andrew McGregor

Soumyabrata Pal

2020/1/28

Efficient intervention design for causal discovery with latents

Raghavendra Addanki

Shiva Kasiviswanathan

Andrew McGregor

Cameron Musco

2020/11/21

Diverse data selection under fairness constraints

arXiv preprint arXiv:2010.09141

Zafeiria Moumoulidou

Andrew McGregor

Alexandra Meliou

2020/10/18

Vertex ordering problems in directed graph streams

Amit Chakrabarti

Prantar Ghosh

Andrew McGregor

Sofya Vorotnikova

2020

1 The Maximum Weight Matching Problem

Instructor

Joan Feigenbaum

Sampath Kannan

Andrew McGregor

Siddharth Suri

Jian Zhang

...

2020/9/29

Triangle and four cycle counting in the data stream model

Andrew McGregor

Sofya Vorotnikova

2020/6/14

See List of Professors in Andrew McGregor University(University of Massachusetts Amherst)

Co-Authors

H-index: 83
Prashant Shenoy

Prashant Shenoy

University of Massachusetts Amherst

H-index: 56
Joan Feigenbaum

Joan Feigenbaum

Yale University

H-index: 41
Gerome Miklau

Gerome Miklau

University of Massachusetts Amherst

H-index: 37
Emery D. Berger

Emery D. Berger

University of Massachusetts Amherst

H-index: 33
Yanlei Diao

Yanlei Diao

University of Massachusetts Amherst

H-index: 30
Michael Hay

Michael Hay

Colgate University

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