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James Saunderson
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Semidefinite approximations of the matrix logarithm
H Fawzi, J Saunderson, PA Parrilo
Foundations of Computational Mathematics 19 (2), 259-296, 2019
1072019
Diagonal and low-rank matrix decompositions, correlation matrices, and ellipsoid fitting
J Saunderson, V Chandrasekaran, PA Parrilo, AS Willsky
SIAM Journal on Matrix Analysis and Applications 33 (4), 1395-1416, 2012
962012
Semidefinite descriptions of the convex hull of rotation matrices
J Saunderson, PA Parrilo, AS Willsky
SIAM Journal on Optimization 25 (3), 1314-1343, 2014
832014
Analyzing hogwild parallel gaussian gibbs sampling
MJ Johnson, J Saunderson, A Willsky
Advances in neural information processing systems 26, 2715-2723, 2013
712013
Spectral clustering with inconsistent advice
T Coleman, J Saunderson, A Wirth
Proceedings of the 25th international conference on Machine learning, 152-159, 2008
692008
Sparse sums of squares on finite abelian groups and improved semidefinite lifts
H Fawzi, J Saunderson, PA Parrilo
Mathematical Programming 160 (1), 149-191, 2016
62*2016
A local-search 2-approximation for 2-correlation-clustering
T Coleman, J Saunderson, A Wirth
European Symposium on Algorithms, 308-319, 2008
572008
Improving efficiency and scalability of sum of squares optimization: Recent advances and limitations
AA Ahmadi, G Hall, A Papachristodoulou, J Saunderson, Y Zheng
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 453-462, 2017
462017
Symmetric sums of squares over k-subset hypercubes
A Raymond, J Saunderson, M Singh, RR Thomas
Mathematical Programming, 1-40, 2016
362016
Estimating the Spectral Density of Large Implicit Matrices
RP Adams, J Pennington, MJ Johnson, J Smith, Y Ovadia, B Patton, ...
arXiv preprint arXiv:1802.03451, 2018
342018
Equivariant semidefinite lifts and sum-of-squares hierarchies
H Fawzi, J Saunderson, PA Parrilo
SIAM Journal on Optimization 25 (4), 2212-2243, 2015
272015
Lieb's concavity theorem, matrix geometric means, and semidefinite optimization
H Fawzi, J Saunderson
Linear Algebra and its Applications 513, 240-263, 2017
262017
Polynomial-sized semidefinite representations of derivative relaxations of spectrahedral cones
J Saunderson, PA Parrilo
Mathematical Programming 153 (2), 309-331, 2015
262015
Certifying polynomial nonnegativity via hyperbolic optimization
J Saunderson
SIAM Journal on Applied Algebra and Geometry 3 (4), 559-732, 2019
252019
Semidefinite relaxations for optimization problems over rotation matrices
J Saunderson, PA Parrilo, AS Willsky
Proc. 53rd IEEE Conference on Decision and Control, 160--166, 2014
242014
A Planning Method for Synchronous Condensers in Weak Grids Using Semi-Definite Optimization
S Hadavi, J Saunderson, A Mehrizi-Sani, B Bahrani
IEEE Transactions on Power Systems 38 (2), 1632-1641, 2022
232022
Metric-Constrained Optimization for Graph Clustering Algorithms
N Veldt, DF Gleich, A Wirth, J Saunderson
SIAM Journal on Mathematics of Data Science 1 (2), 333-355, 2019
21*2019
Lifting for simplicity: Concise descriptions of convex sets
H Fawzi, J Gouveia, PA Parrilo, J Saunderson, RR Thomas
SIAM Review 64 (4), 866-918, 2022
192022
A spectrahedral representation of the first derivative relaxation of the positive semidefinite cone
J Saunderson
Optimization Letters 12, 1475-1486, 2018
162018
Optimal self-concordant barriers for quantum relative entropies
H Fawzi, J Saunderson
SIAM Journal on Optimization 33 (4), 2858-2884, 2023
152023
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