James Saunderson

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Pablo A. ParriloProfessor of Electrical Engineering and Computer Science, Massachusetts Institute of TechnologyVerified email at mit.edu
Hamza FawziProfessor of Applied Mathematics, University of CambridgeVerified email at cam.ac.uk
Alan S. WillskyProfessor of EECS, MITVerified email at mit.edu
Anthony WirthProfessor, School of Computing and Information Systems, The University of MelbourneVerified email at unimelb.edu.au
Matthew J. JohnsonGoogle BrainVerified email at csail.mit.edu
Maryam FazelProfessor of Electrical and Computer Engineering, University of WashingtonVerified email at uw.edu
Rekha R. ThomasProfessor of MathematicsVerified email at uw.edu
Babak HassibiMose and Lilian S. Bohn Professor of Electrical EngineeringVerified email at caltech.edu
David GleichPurdue UniversityVerified email at purdue.edu
Nate VeldtTexas A&M UniversityVerified email at tamu.edu
Yang ZhengAssistant Professor, UC San DiegoVerified email at eng.ucsd.edu
Antonis PapachristodoulouUniversity of OxfordVerified email at eng.ox.ac.uk
Georgina HallINSEADVerified email at insead.edu
Mohit SinghAssociate Professor, Georgia Institute of TechnologyVerified email at gatech.edu
Ryan P. AdamsPrinceton UniversityVerified email at princeton.edu
Jeffrey PenningtonGoogle BrainVerified email at google.com
Brian PattonGoogle ResearchVerified email at google.com
Yaniv OvadiaGoogleVerified email at google.com
Jamie SmithGoogleVerified email at google.com
Nimita ShindePostdoctoral Fellow at ICERM, Brown UniversityVerified email at iitb.ac.in

James Saunderson

Monash University

Verified email at monash.edu - Homepage

Optimization convex optimization semidefinite programming


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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	86	2012
Semidefinite approximations of the matrix logarithm H Fawzi, J Saunderson, PA Parrilo Foundations of Computational Mathematics 19 (2), 259-296, 2019	84	2019
Semidefinite descriptions of the convex hull of rotation matrices J Saunderson, PA Parrilo, AS Willsky SIAM Journal on Optimization 25 (3), 1314-1343, 2014	76	2014
Analyzing hogwild parallel gaussian gibbs sampling MJ Johnson, J Saunderson, A Willsky Advances in neural information processing systems 26, 2715-2723, 2013	69	2013
Spectral clustering with inconsistent advice T Coleman, J Saunderson, A Wirth Proceedings of the 25th international conference on Machine learning, 152-159, 2008	67	2008
A local-search 2-approximation for 2-correlation-clustering T Coleman, J Saunderson, A Wirth European Symposium on Algorithms, 308-319, 2008	52	2008
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	50*	2016
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	41	2017
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	30	2018
Symmetric sums of squares over k-subset hypercubes A Raymond, J Saunderson, M Singh, RR Thomas Mathematical Programming, 1-40, 2016	30	2016
Equivariant semidefinite lifts and sum-of-squares hierarchies H Fawzi, J Saunderson, PA Parrilo SIAM Journal on Optimization 25 (4), 2212-2243, 2015	27	2015
Polynomial-sized semidefinite representations of derivative relaxations of spectrahedral cones J Saunderson, PA Parrilo Mathematical Programming 153 (2), 309-331, 2015	25	2015
Certifying polynomial nonnegativity via hyperbolic optimization J Saunderson SIAM Journal on Applied Algebra and Geometry 3 (4), 559-732, 2019	21	2019
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	20*	2019
Lieb's concavity theorem, matrix geometric means, and semidefinite optimization H Fawzi, J Saunderson Linear Algebra and its Applications 513, 240-263, 2017	19	2017
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	19	2014
A spectrahedral representation of the first derivative relaxation of the positive semidefinite cone J Saunderson Optimization Letters 12, 1475-1486, 2018	14	2018
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	13	2022
Equivariant semidefinite lifts of regular polygons H Fawzi, J Saunderson, PA Parrilo Mathematics of Operations Research 42 (2), 472-494, 2017	13	2017
Subspace identification via convex optimization J Saunderson Massachusetts Institute of Technology (SM), 2011	11	2011

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