James Saunderson

According to our database, James Saunderson authored at least 41 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Hyperbolicity cones are amenable.

Bruno F. Lourenço, Vera Roshchina, James Saunderson

Math. Program., March, 2024

2023

Optimal Self-Concordant Barriers for Quantum Relative Entropies.

Hamza Fawzi, James Saunderson

SIAM J. Optim., December, 2023

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

Alex Tritt, Joshua Morris, Joel Hochstetter, R. P. Anderson, James Saunderson, L. D. Turner

Comput. Phys. Commun., June, 2023

Terracini convexity.

James Saunderson, Venkat Chandrasekaran

Math. Program., March, 2023

A Convex Form That Is Not a Sum of Squares.

James Saunderson

Math. Oper. Res., February, 2023

Efficient Computation of the Quantum Rate-Distortion Function.

Kerry He, James Saunderson, Hamza Fawzi

CoRR, 2023

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

Kerry He, James Saunderson, Hamza Fawzi

CoRR, 2023

Homophonic Coding for the Noisy Nanopore Channel with Constrained Markov Sources.

Brendon McBain, Emanuele Viterbo, James Saunderson

Proceedings of the IEEE International Symposium on Information Theory, 2023

A Scalable Frank-Wolfe-Based Algorithm for the Max-Cut SDP.

Chi Bach Pham, Wynita Griggs, James Saunderson

Proceedings of the International Conference on Machine Learning, 2023

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

Oisin Faust, Hamza Fawzi, James Saunderson

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Amenable Cones Are Particularly Nice.

Bruno F. Lourenço, Vera Roshchina, James Saunderson

SIAM J. Optim., September, 2022

Lifting for Simplicity: Concise Descriptions of Convex Sets.

Hamza Fawzi, João Gouveia, Pablo A. Parrilo, James Saunderson, Rekha R. Thomas

SIAM Rev., 2022

Finite-State Semi-Markov Channels for Nanopore Sequencing.

Brendon McBain, Emanuele Viterbo, James Saunderson

Proceedings of the IEEE International Symposium on Information Theory, 2022

2021

Memory-Efficient Structured Convex Optimization via Extreme Point Sampling.

Nimita Shinde, Vishnu Narayanan, James Saunderson

SIAM J. Math. Data Sci., 2021

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

Nimita Shinde, Vishnu Narayanan, James Saunderson

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Limitations on the Expressive Power of Convex Cones without Long Chains of Faces.

James Saunderson

SIAM J. Optim., 2020

2019

Metric-Constrained Optimization for Graph Clustering Algorithms.

Nate Veldt, David F. Gleich, Anthony Wirth, James Saunderson

SIAM J. Math. Data Sci., 2019

Certifying Polynomial Nonnegativity via Hyperbolic Optimization.

James Saunderson

SIAM J. Appl. Algebra Geom., 2019

Semidefinite Approximations of the Matrix Logarithm.

Hamza Fawzi, James Saunderson, Pablo A. Parrilo

Found. Comput. Math., 2019

2018

A spectrahedral representation of the first derivative relaxation of the positive semidefinite cone.

James Saunderson

Optim. Lett., 2018

Symmetric sums of squares over k-subset hypercubes.

Annie Raymond, James Saunderson, Mohit Singh, Rekha R. Thomas

Math. Program., 2018

Competitive online algorithms for resource allocation over the positive semidefinite cone.

Reza Eghbali, James Saunderson, Maryam Fazel

Math. Program., 2018

A Projection Method for Metric-Constrained Optimization.

Nate Veldt, David F. Gleich, Anthony Wirth, James Saunderson

CoRR, 2018

2017

Equivariant Semidefinite Lifts of Regular Polygons.

Hamza Fawzi, James Saunderson, Pablo A. Parrilo

Math. Oper. Res., 2017

Error bounds for Bregman denoising and structured natural parameter estimation.

Amin Jalali, James Saunderson, Maryam Fazel, Babak Hassibi

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Improving efficiency and scalability of sum of squares optimization: Recent advances and limitations.

Amir Ali Ahmadi, Georgina Hall, Antonis Papachristodoulou, James Saunderson, Yang Zheng

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Sparse sums of squares on finite abelian groups and improved semidefinite lifts.

Hamza Fawzi, James Saunderson, Pablo A. Parrilo

Math. Program., 2016

Simple algorithms and guarantees for low rank matrix completion over F2.

James Saunderson, Maryam Fazel, Babak Hassibi

Proceedings of the IEEE International Symposium on Information Theory, 2016

Phaseless super-resolution using masks.

Kishore Jaganathan, James Saunderson, Maryam Fazel, Yonina C. Eldar, Babak Hassibi

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Semidenite representations with applications in estimation and inference.

James Saunderson

PhD thesis, 2015

Semidefinite Descriptions of the Convex Hull of Rotation Matrices.

James Saunderson, Pablo A. Parrilo, Alan S. Willsky

SIAM J. Optim., 2015

Equivariant Semidefinite Lifts and Sum-of-Squares Hierarchies.

Hamza Fawzi, James Saunderson, Pablo A. Parrilo

SIAM J. Optim., 2015

Polynomial-sized semidefinite representations of derivative relaxations of spectrahedral cones.

James Saunderson, Pablo A. Parrilo

Math. Program., 2015

Sparse sum-of-squares certificates on finite abelian groups.

Hamza Fawzi, James Saunderson, Pablo A. Parrilo

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014

Semidefinite relaxations for optimization problems over rotation matrices.

James Saunderson, Pablo A. Parrilo, Alan S. Willsky

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013

Analyzing Hogwild Parallel Gaussian Gibbs Sampling.

Matthew J. Johnson, James Saunderson, Alan S. Willsky

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Diagonal and low-rank decompositions and fitting ellipsoids to random points.

James Saunderson, Pablo A. Parrilo, Alan S. Willsky

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012

Diagonal and Low-Rank Matrix Decompositions, Correlation Matrices, and Ellipsoid Fitting.

James Saunderson, Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky

SIAM J. Matrix Anal. Appl., 2012

2011

Tree-structured statistical modeling via convex optimization.

James Saunderson, Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2008

Spectral clustering with inconsistent advice.

Tom Coleman, James Saunderson, Anthony Wirth

Proceedings of the Machine Learning, 2008

A Local-Search 2-Approximation for 2-Correlation-Clustering.

Tom Coleman, James Saunderson, Anthony Wirth

Proceedings of the Algorithms, 2008