Joel A. Tropp

Joel A. Tropp

California Institute of Technology

H-index: 61

North America-United States

About Joel A. Tropp

Joel A. Tropp, With an exceptional h-index of 61 and a recent h-index of 46 (since 2020), a distinguished researcher at California Institute of Technology, specializes in the field of Applied mathematics, signal processing, statistics, numerical analysis, random matrix theory.

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

Efficient error and variance estimation for randomized matrix computations

Randomized matrix computations: Themes and variations

Sparse random Hamiltonians are quantumly easy

XTrace: Making the Most of Every Sample in Stochastic Trace Estimation

Randomized algorithms for low-rank matrix approximation: Design, analysis, and applications

Robust, randomized preconditioning for kernel ridge regression

Probability Theory & Computational Mathematics

Probability in High Dimensions

Joel A. Tropp Information

University

Position

Steele Family Professor of Applied & Computational Mathematics

Citations(all)

46654

Citations(since 2020)

16604

Cited By

37935

hIndex(all)

61

hIndex(since 2020)

46

i10Index(all)

101

i10Index(since 2020)

83

Email

University Profile Page

California Institute of Technology

Google Scholar

View Google Scholar Profile

Joel A. Tropp Skills & Research Interests

Applied mathematics

signal processing

statistics

numerical analysis

random matrix theory

Top articles of Joel A. Tropp

Title

Journal

Author(s)

Publication Date

Efficient error and variance estimation for randomized matrix computations

SIAM Journal on Scientific Computing

Ethan N Epperly

Joel A Tropp

2024/2/29

Randomized matrix computations: Themes and variations

arXiv preprint arXiv:2402.17873

Anastasia Kireeva

Joel A Tropp

2024/2/27

Sparse random Hamiltonians are quantumly easy

Physical Review X

Chi-Fang Chen

Alexander M Dalzell

Mario Berta

Fernando GSL Brandão

Joel A Tropp

2024/2/9

XTrace: Making the Most of Every Sample in Stochastic Trace Estimation

SIAM Journal on Matrix Analysis and Applications

Ethan N Epperly

Joel A Tropp

Robert J Webber

2024/3/31

Randomized algorithms for low-rank matrix approximation: Design, analysis, and applications

arXiv preprint arXiv:2306.12418

Joel A Tropp

Robert J Webber

2023/6/21

Robust, randomized preconditioning for kernel ridge regression

arXiv preprint arXiv:2304.12465

Mateo Díaz

Ethan N Epperly

Zachary Frangella

Joel A Tropp

Robert J Webber

2023/4/24

Probability Theory & Computational Mathematics

Joel A Tropp

2023

Probability in High Dimensions

Joel A Tropp

2023

Randomized nyström preconditioning

SIAM Journal on Matrix Analysis and Applications

Zachary Frangella

Joel A Tropp

Madeleine Udell

2023/6/30

Learning to forecast dynamical systems from streaming data

SIAM Journal on Applied Dynamical Systems

Dimitrios Giannakis

Amelia Henriksen

Joel A Tropp

Rachel Ward

2023/6/30

Sharp phase transitions in Euclidean integral geometry

arXiv preprint arXiv:2208.13919

Martin Lotz

Joel A Tropp

2022/8/29

Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations

arXiv preprint arXiv:2207.06503

Yifan Chen

Ethan N Epperly

Joel A Tropp

Robert J Webber

2022/7/13

Jackknife variability estimation for randomized matrix computations

arXiv preprint arXiv:2207.06342

Ethan N Epperly

JOEL A Tropp

2022

Randomized block Krylov methods for approximating extreme eigenvalues

Numerische Mathematik

Joel A Tropp

2022/1

Matrix concentration for products

Foundations of Computational Mathematics

De Huang

Jonathan Niles-Weed

Joel A Tropp

Rachel Ward

2022/12

Scalable semidefinite programming

SIAM Journal on Mathematics of Data Science

Alp Yurtsever

Joel A Tropp

Olivier Fercoq

Madeleine Udell

Volkan Cevher

2021

Technical Report No. 2018-02 June 2021

JOEL A TROPP

2021/6/14

Binary component decomposition part I: the positive-semidefinite case

SIAM Journal on Mathematics of Data Science

Richard Kueng

Joel A Tropp

2021

From Poincaré inequalities to nonlinear matrix concentration

De Huang

Joel A Tropp

2021/5

An optimal-storage approach to semidefinite programming using approximate complementarity

SIAM Journal on Optimization

Lijun Ding

Alp Yurtsever

Volkan Cevher

Joel A Tropp

Madeleine Udell

2021

See List of Professors in Joel A. Tropp University(California Institute of Technology)