A Local-Search 2-Approximation for 2-Correlation-Clustering. - Tom Coleman; James Saunderson; Anthony Wirth (ESA, 2008)

Spectral clustering with inconsistent advice. - Tom Coleman; James Saunderson; Anthony Wirth (ICML, 2008)

Tree-structured statistical modeling via convex optimization. - James Saunderson; Venkat Chandrasekaran; Pablo A. Parrilo; Alan S. Willsky (CDC/ECC, 2011)

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)

Diagonal and low-rank decompositions and fitting ellipsoids to random points. - James Saunderson; Pablo A. Parrilo; Alan S. Willsky (CDC, 2013)

Analyzing Hogwild Parallel Gaussian Gibbs Sampling. - Matthew J. Johnson 002; James Saunderson; Alan S. Willsky (NIPS, 2013)

Semidefinite relaxations for optimization problems over rotation matrices. - James Saunderson; Pablo A. Parrilo; Alan S. Willsky (CDC, 2014)

Sparse sum-of-squares certificates on finite abelian groups. - Hamza Fawzi; James Saunderson; Pablo A. Parrilo (CDC, 2015)

Polynomial-sized semidefinite representations of derivative relaxations of spectrahedral cones. - James Saunderson; Pablo A. Parrilo (Math. Program., 2015)

Equivariant Semidefinite Lifts and Sum-of-Squares Hierarchies. - Hamza Fawzi; James Saunderson; Pablo A. Parrilo (SIAM J. Optim., 2015)

Semidefinite Descriptions of the Convex Hull of Rotation Matrices. - James Saunderson; Pablo A. Parrilo; Alan S. Willsky (SIAM J. Optim., 2015)

Semidenite representations with applications in estimation and inference. - James Saunderson (2015)

Phaseless super-resolution using masks. - Kishore Jaganathan; James Saunderson; Maryam Fazel; Yonina C. Eldar; Babak Hassibi (ICASSP, 2016)

Simple algorithms and guarantees for low rank matrix completion over F2. - James Saunderson; Maryam Fazel; Babak Hassibi (ISIT, 2016)

Sparse sums of squares on finite abelian groups and improved semidefinite lifts. - Hamza Fawzi; James Saunderson; Pablo A. Parrilo (Math. Program., 2016)

Improving efficiency and scalability of sum of squares optimization: Recent advances and limitations. - Amir Ali Ahmadi; Georgina Hall; Antonis Papachristodoulou; James Saunderson; Yang Zheng 001 (CDC, 2017)

Error bounds for Bregman denoising and structured natural parameter estimation. - Amin Jalali 002; James Saunderson; Maryam Fazel; Babak Hassibi (ISIT, 2017)

Equivariant Semidefinite Lifts of Regular Polygons. - Hamza Fawzi; James Saunderson; Pablo A. Parrilo (Math. Oper. Res., 2017)

A Projection Method for Metric-Constrained Optimization. - Nate Veldt; David F. Gleich; Anthony Wirth; James Saunderson (CoRR, 2018)

Competitive online algorithms for resource allocation over the positive semidefinite cone. - Reza Eghbali; James Saunderson; Maryam Fazel (Math. Program., 2018)

Symmetric sums of squares over k-subset hypercubes. - Annie Raymond; James Saunderson; Mohit Singh; Rekha R. Thomas (Math. Program., 2018)

A spectrahedral representation of the first derivative relaxation of the positive semidefinite cone. - James Saunderson (Optim. Lett., 2018)

Semidefinite Approximations of the Matrix Logarithm. - Hamza Fawzi; James Saunderson; Pablo A. Parrilo (Found. Comput. Math., 2019)

Certifying Polynomial Nonnegativity via Hyperbolic Optimization. - James Saunderson (SIAM J. Appl. Algebra Geom., 2019)

Metric-Constrained Optimization for Graph Clustering Algorithms. - Nate Veldt; David F. Gleich; Anthony Wirth; James Saunderson (SIAM J. Math. Data Sci., 2019)

Limitations on the Expressive Power of Convex Cones without Long Chains of Faces. - James Saunderson (SIAM J. Optim., 2020)

Memory-Efficient Approximation Algorithms for Max-k-Cut and Correlation Clustering. - Nimita Shinde; Vishnu Narayanan; James Saunderson (NeurIPS, 2021)

Memory-Efficient Structured Convex Optimization via Extreme Point Sampling. - Nimita Shinde; Vishnu Narayanan; James Saunderson (SIAM J. Math. Data Sci., 2021)

Finite-State Semi-Markov Channels for Nanopore Sequencing. - Brendon McBain; Emanuele Viterbo; James Saunderson (ISIT, 2022)

Lifting for Simplicity: Concise Descriptions of Convex Sets. - Hamza Fawzi; João Gouveia; Pablo A. Parrilo; James Saunderson; Rekha R. Thomas (SIAM Rev., 2022)

Amenable Cones Are Particularly Nice. - Bruno F. Lourenço; Vera Roshchina; James Saunderson (SIAM J. Optim., 2022)

A Bregman Divergence View on the Difference-of-Convex Algorithm. - Oisin Faust; Hamza Fawzi; James Saunderson (AISTATS, 2023)

A Scalable Frank-Wolfe-Based Algorithm for the Max-Cut SDP. - Chi Bach Pham; Wynita M. Griggs; James Saunderson (ICML, 2023)

Homophonic Coding for the Noisy Nanopore Channel with Constrained Markov Sources. - Brendon McBain; Emanuele Viterbo; James Saunderson (ISIT, 2023)

A Mirror Descent Perspective on Classical and Quantum Blahut-Arimoto Algorithms. - Kerry He; James Saunderson; Hamza Fawzi (CoRR, 2023)

A Convex Form That Is Not a Sum of Squares. - James Saunderson (Math. Oper. Res., 2023)

Terracini convexity. - James Saunderson; Venkat Chandrasekaran (Math. Program., 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., 2023)

Optimal Self-Concordant Barriers for Quantum Relative Entropies. - Hamza Fawzi; James Saunderson (SIAM J. Optim., 2023)

On Noisy Duplication Channels with Markov Sources. - Brendon McBain; James Saunderson; Emanuele Viterbo (ISIT, 2024)

Exploiting Structure in Quantum Relative Entropy Programs. - Kerry He; James Saunderson; Hamza Fawzi (CoRR, 2024)

Robust Non-adaptive Group Testing under Errors in Group Membership Specifications. - Shuvayan Banerjee; Radhendushka Srivastava; James Saunderson; Ajit Rajwade 001 (CoRR, 2024)

Efficient Computation of the Quantum Rate-Distortion Function. - Kerry He; James Saunderson; Hamza Fawzi (Quantum, 2024)

Hyperbolicity cones are amenable. - Bruno F. Lourenço; Vera Roshchina; James Saunderson (Math. Program., 2024)

A Bregman Proximal Perspective on Classical and Quantum Blahut-Arimoto Algorithms. - Kerry He; James Saunderson; Hamza Fawzi (IEEE Trans. Inf. Theory, 2024)

Information Rates of the Noisy Nanopore Channel. - Brendon McBain; Emanuele Viterbo; James Saunderson (IEEE Trans. Inf. Theory, 2024)

Identification and Correction of Permutation Errors in Compressed Sensing-Based Group Testing. - Shuvayan Banerjee; Sudhansh Peddabomma; Radhendushka Srivastava; James Saunderson; Ajit Rajwade 001 (ICASSP, 2025)

Fast Debiasing of the LASSO Estimator. - Shuvayan Banerjee; James Saunderson; Radhendushka Srivastava; Ajit Rajwade 001 (CoRR, 2025)

A Feedback Control Framework for Incentivised Suburban Parking Utilisation and Urban Core Traffic Relief. - Abdul Baseer Satti; James Saunderson; Wynita M. Griggs; Syed Muhammad Nawazish Ali; Nameer Al Khafaf; Saman Ahmadi; Mahdi Jalili; Jakub Marecek; Robert Shorten (CoRR, 2025)