James Saunderson

James Saunderson

Monash University

H-index: 16

Oceania-Australia

About James Saunderson

James Saunderson, With an exceptional h-index of 16 and a recent h-index of 13 (since 2020), a distinguished researcher at Monash University, specializes in the field of Optimization, convex optimization, semidefinite programming.

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

Efficient Computation of the Quantum Rate-Distortion Function

Hyperbolicity cones are amenable

Optimal self-concordant barriers for quantum relative entropies

A Mirror Descent Perspective on Classical and Quantum Blahut-Arimoto Algorithms

A Predictive machine-learning model for propagation rate coefficients in radical polymerization

Compressive quantum waveform estimation

Spinsim: A GPU optimized python package for simulating spin-half and spin-one quantum systems

An Inexact Frank-Wolfe Algorithm for Composite Convex Optimization Involving a Self-Concordant Function

James Saunderson Information

University

Position

Lecturer

Citations(all)

924

Citations(since 2020)

581

Cited By

583

hIndex(all)

16

hIndex(since 2020)

13

i10Index(all)

23

i10Index(since 2020)

18

Email

University Profile Page

Monash University

Google Scholar

View Google Scholar Profile

James Saunderson Skills & Research Interests

Optimization

convex optimization

semidefinite programming

Top articles of James Saunderson

Title

Journal

Author(s)

Publication Date

Efficient Computation of the Quantum Rate-Distortion Function

Quantum

Kerry He

James Saunderson

Hamza Fawzi

2024/4/9

Hyperbolicity cones are amenable

Mathematical Programming

Bruno F Lourenço

Vera Roshchina

James Saunderson

2024/3

Optimal self-concordant barriers for quantum relative entropies

SIAM Journal on Optimization

Hamza Fawzi

James Saunderson

2023/12/31

A Mirror Descent Perspective on Classical and Quantum Blahut-Arimoto Algorithms

arXiv preprint arXiv:2306.04492

Kerry He

James Saunderson

Hamza Fawzi

2023/6/7

A Predictive machine-learning model for propagation rate coefficients in radical polymerization

Polymer Chemistry

Emma Van de Reydt

Noam Marom

James Saunderson

Mario Boley

Tanja Junkers

2023

Compressive quantum waveform estimation

arXiv preprint arXiv:2310.15630

Alex Tritt

Joshua Morris

Christopher C Bounds

Hamish AM Taylor

James Saunderson

...

2023/10/24

Spinsim: A GPU optimized python package for simulating spin-half and spin-one quantum systems

Computer Physics Communications

Alex Tritt

Joshua Morris

Joel Hochstetter

RP Anderson

James Saunderson

...

2023/6/1

An Inexact Frank-Wolfe Algorithm for Composite Convex Optimization Involving a Self-Concordant Function

arXiv preprint arXiv:2310.14482

Nimita Shinde

Vishnu Narayanan

James Saunderson

2023/10/23

A Bregman Divergence View on the Difference-of-Convex Algorithm

Oisin Faust

Hamza Fawzi

James Saunderson

2023/4/11

A scalable Frank-Wolfe-based algorithm for the max-cut SDP

Chi Bach Pham

Wynita Griggs

James Saunderson

2023/7/3

Terracini convexity

Mathematical Programming

James Saunderson

Venkat Chandrasekaran

2023/3

Homophonic Coding for the Noisy Nanopore Channel with Constrained Markov Sources

Brendon McBain

Emanuele Viterbo

James Saunderson

2023/6/25

A convex form that is not a sum of squares

Mathematics of Operations Research

James Saunderson

2023/2

Finite-State Semi-Markov Channels for Nanopore Sequencing

Brendon McBain

Emanuele Viterbo

James Saunderson

2022/6/26

A Planning Method for Synchronous Condensers in Weak Grids Using Semi-Definite Optimization

IEEE Transactions on Power Systems

Sajjad Hadavi

James Saunderson

Ali Mehrizi-Sani

Behrooz Bahrani

2022/5/13

Amenable cones are particularly nice

SIAM Journal on Optimization

Bruno F Lourenço

Vera Roshchina

James Saunderson

2022

Lifting for simplicity: Concise descriptions of convex sets

SIAM Review

Hamza Fawzi

Joao Gouveia

Pablo A Parrilo

James Saunderson

Rekha R Thomas

2022

Memory-Efficient Approximation Algorithms for Max-k-Cut and Correlation Clustering

Advances in Neural Information Processing Systems

Nimita Shinde

Vishnu Narayanan

James Saunderson

2021/12/6

Memory-efficient structured convex optimization via extreme point sampling

SIAM Journal on Mathematics of Data Science

Nimita Shinde

Vishnu Narayanan

James Saunderson

2021

Corrigendum to “Lieb’s concavity theorem, matrix geometric means, and semidefinite optimization”

Hamza Fawzi

James Saunderson

2020/4/13

See List of Professors in James Saunderson University(Monash University)

Co-Authors

H-index: 101
Alan S. Willsky

Alan S. Willsky

Massachusetts Institute of Technology

H-index: 63
Ryan P. Adams

Ryan P. Adams

Princeton University

H-index: 62
Pablo A. Parrilo

Pablo A. Parrilo

Massachusetts Institute of Technology

H-index: 53
Antonis Papachristodoulou

Antonis Papachristodoulou

University of Oxford

H-index: 41
David Gleich

David Gleich

Purdue University

H-index: 35
Yang Zheng

Yang Zheng

Harvard University

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