Eli Upfal

Eli Upfal

Brown University

H-index: 62

North America-United States

About Eli Upfal

Eli Upfal, With an exceptional h-index of 62 and a recent h-index of 33 (since 2020), a distinguished researcher at Brown University, specializes in the field of Design and Analysis of Algorithms, Randomized Algorithms, Probabilistic Analysis, Machine Learning, Computational Statistics.

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

An adaptive algorithm for learning with unknown distribution drift

An Adaptive Method for Weak Supervision with Drifting Data

Nonparametric density estimation under distribution drift

Balanced allocation: Patience is not a virtue

Tight lower bounds on worst-case guarantees for zero-shot learning with attributes

Reducing polarization and increasing diverse navigability in graphs by inserting edges and swapping edge weights

William Zhang

Semi-supervised aggregation of dependent weak supervision sources with performance guarantees

Eli Upfal Information

University

Position

Computer Science Professor

Citations(all)

20223

Citations(since 2020)

5671

Cited By

17229

hIndex(all)

62

hIndex(since 2020)

33

i10Index(all)

146

i10Index(since 2020)

76

Email

University Profile Page

Brown University

Google Scholar

View Google Scholar Profile

Eli Upfal Skills & Research Interests

Design and Analysis of Algorithms

Randomized Algorithms

Probabilistic Analysis

Machine Learning

Computational Statistics

Top articles of Eli Upfal

Title

Journal

Author(s)

Publication Date

An adaptive algorithm for learning with unknown distribution drift

Advances in Neural Information Processing Systems

Alessio Mazzetto

Eli Upfal

2024/2/13

An Adaptive Method for Weak Supervision with Drifting Data

arXiv preprint arXiv:2306.01658

Alessio Mazzetto

Reza Esfandiarpoor

Eli Upfal

Stephen H Bach

2023/6/2

Nonparametric density estimation under distribution drift

Alessio Mazzetto

Eli Upfal

2023/7/3

Balanced allocation: Patience is not a virtue

SIAM Journal on Computing

John Augustine

William K Moses Jr

Amanda Redlich

Eli Upfal

2022/12/31

Tight lower bounds on worst-case guarantees for zero-shot learning with attributes

Advances in Neural Information Processing Systems

Alessio Mazzetto

Cristina Menghini

Andrew Yuan

Eli Upfal

Stephen Bach

2022/12/6

Reducing polarization and increasing diverse navigability in graphs by inserting edges and swapping edge weights

Data Mining and Knowledge Discovery

Shahrzad Haddadan

Cristina Menghini

Matteo Riondato

Eli Upfal

2022/11

William Zhang

Eli Upfal

2022/4/18

Semi-supervised aggregation of dependent weak supervision sources with performance guarantees

Alessio Mazzetto

Dylan Sam

Andrew Park

Eli Upfal

Stephen H Bach

2021/3/18

How Inclusive Are Wikipedia’s Hyperlinks in Articles Covering Polarizing Topics?

2021 IEEE International Conference on Big Data (Big Data)

Cristina Menghini

Aris Anagnostopoulos

Eli Upfal

2021

Repbublik: Reducing polarized bubble radius with link insertions

Shahrzad Haddadan

Cristina Menghini

Matteo Riondato

Eli Upfal

2021/3/8

Fast doubly-adaptive mcmc to estimate the gibbs partition function with weak mixing time bounds

Advances in Neural Information Processing Systems

Shahrzad Haddadan

Yue Zhuang

Cyrus Cousins

Eli Upfal

2021/12/6

Neuro-Hotnet: A Graph Theoretic Approach for Brain FC Estimation

CoRR

Nathan Tung

Eli Upfal

Jerome N Sanes

Ani Eloyan

2021

Brain Functional Connectivity Estimation Utilizing Diffusion Kernels on a Structural Connectivity Graph

arXiv preprint arXiv:2111.08118

Nathan Tung

Jerome Sanes

Eli Upfal

Ani Eloyan

2021/11/15

Auditing Wikipedia's hyperlinks network on polarizing topics (version 4)

arXiv eprint archive

Cristina Menghini

Aris Anagnostopoulos

Eli Upfal

2021

Adversarial multi class learning under weak supervision with performance guarantees

Alessio Mazzetto

Cyrus Cousins

Dylan Sam

Stephen H Bach

Eli Upfal

2021/7/1

Tiered Sampling: An Efficient Method for Counting Sparse Motifs in Massive Graph Streams

ACM Transactions on Knowledge Discovery from Data (TKDD)

Lorenzo De Stefani

Erisa Terolli

Eli Upfal

2021/5/10

Distributed graph diameter approximation

Algorithms

Matteo Ceccarello

Andrea Pietracaprina

Geppino Pucci

Eli Upfal

2020/9/1

Making mean-estimation more efficient using an MCMC trace variance approach: DynaMITE

arXiv preprint arXiv:2011.11129

Cyrus Cousins

Shahrzad Haddadan

Eli Upfal

2020/11/22

See List of Professors in Eli Upfal University(Brown University)

Co-Authors

H-index: 90
Michael Mitzenmacher

Michael Mitzenmacher

Harvard University

H-index: 84
Stanley Zdonik

Stanley Zdonik

Brown University

H-index: 83
Jehoshua Bruck

Jehoshua Bruck

California Institute of Technology

H-index: 80
David Peleg

David Peleg

Weizmann Institute of Science

H-index: 75
Alan Frieze

Alan Frieze

Carnegie Mellon University

H-index: 68
Ben Raphael

Ben Raphael

Princeton University

academic-engine