Aaron Sidford

Aaron Sidford

Stanford University

H-index: 45

North America-United States

About Aaron Sidford

Aaron Sidford, With an exceptional h-index of 45 and a recent h-index of 44 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Algorithms, Optimization, and Numerical Analysis.

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

A Whole New Ball Game: A Primal Accelerated Method for Matrix Games and Minimizing the Maximum of Smooth Functions

Parallel submodular function minimization

Quantum speedups for stochastic optimization

Towards Optimal Effective Resistance Estimation

Towards optimal running timesfor optimal transport

On computing approximate Lewis weights

Incremental Approximate Maximum Flow on Undirected Graphs in Subpolynomial Update Time

Structured semidefinite programming for recovering structured preconditioners

Aaron Sidford Information

University

Position

___

Citations(all)

7328

Citations(since 2020)

5820

Cited By

3658

hIndex(all)

45

hIndex(since 2020)

44

i10Index(all)

90

i10Index(since 2020)

89

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Aaron Sidford Skills & Research Interests

Algorithms

Optimization

and Numerical Analysis

Top articles of Aaron Sidford

Title

Journal

Author(s)

Publication Date

A Whole New Ball Game: A Primal Accelerated Method for Matrix Games and Minimizing the Maximum of Smooth Functions

Yair Carmon

Arun Jambulapati

Yujia Jin

Aaron Sidford

2024

Parallel submodular function minimization

Advances in Neural Information Processing Systems

Deeparnab Chakrabarty

Andrei Graur

Haotian Jiang

Aaron Sidford

2024/2/13

Quantum speedups for stochastic optimization

Advances in Neural Information Processing Systems

Aaron Sidford

Chenyi Zhang

2024/2/13

Towards Optimal Effective Resistance Estimation

Advances in Neural Information Processing Systems

Rajat Vadiraj Dwaraknath

Ishani Karmarkar

Aaron Sidford

2024/2/13

Towards optimal running timesfor optimal transport

Operations Research Letters

Jose Blanchet

Arun Jambulapati

Carson Kent

Aaron Sidford

2024/1/1

On computing approximate Lewis weights

arXiv preprint arXiv:2404.02881

Simon Apers

Sander Gribling

Aaron Sidford

2024/4/3

Incremental Approximate Maximum Flow on Undirected Graphs in Subpolynomial Update Time

Jan van den Brand

Li Chen

Rasmus Kyng

Yang P Liu

Richard Peng

...

2024

Structured semidefinite programming for recovering structured preconditioners

Advances in Neural Information Processing Systems

Arun Jambulapati

Jerry Li

Christopher Musco

Kirankumar Shiragur

Aaron Sidford

...

2024/2/13

Improved girth approximation in weighted undirected graphs

Avi Kadria

Liam Roditty

Aaron Sidford

Virginia Vassilevska Williams

Uri Zwick

2023

Sparsifying sums of norms

Arun Jambulapati

James R Lee

Yang P Liu

Aaron Sidford

2023/11/6

Quantum speedups for zero-sum games via improved dynamic Gibbs sampling

Adam Bouland

Yosheb M Getachew

Yujia Jin

Aaron Sidford

Kevin Tian

2023/7/3

A deterministic almost-linear time algorithm for minimum-cost flow

Jan Van Den Brand

Li Chen

Richard Peng

Rasmus Kyng

Yang P Liu

...

2023/11/6

Resqueing parallel and private stochastic convex optimization

Yair Carmon

Arun Jambulapati

Yujia Jin

Yin Tat Lee

Daogao Liu

...

2023/11/6

Entropy Regularization and Faster Decremental Matching in General Graphs

arXiv preprint arXiv:2312.09077

Jiale Chen

Aaron Sidford

Ta-Wei Tu

2023/12/14

Near-Optimal Dynamic Rounding of Fractional Matchings in Bipartite Graphs

arXiv preprint arXiv:2306.11828

Sayan Bhattacharya

Peter Kiss

Aaron Sidford

David Wajc

2023/6/20

Singular Value Approximation and Sparsifying Random Walks on Directed Graphs

AmirMahdi Ahmadinejad

John Peebles

Edward Pyne

Aaron Sidford

Salil Vadhan

2023/11/6

Sparsifying generalized linear models

arXiv preprint arXiv:2311.18145

Arun Jambulapati

James R Lee

Yang P Liu

Aaron Sidford

2023/11/29

Dynamic maxflow via dynamic interior point methods

Jan van den Brand

Yang P Liu

Aaron Sidford

2023/6/2

Variance reduced value iteration and faster algorithms for solving Markov decision processes

Naval Research Logistics (NRL)

Aaron Sidford

Mengdi Wang

Xian Wu

Yinyu Ye

2023/8

Chaining, group leverage score overestimates, and fast spectral hypergraph sparsification

Arun Jambulapati

Yang P Liu

Aaron Sidford

2023/6/2

See List of Professors in Aaron Sidford University(Stanford University)