| Semidefinite approximations of the matrix logarithm H Fawzi, J Saunderson, PA Parrilo Foundations of Computational Mathematics 19 (2), 259-296, 2019 | 97 | 2019 |
| 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 | 94 | 2012 |
| Semidefinite descriptions of the convex hull of rotation matrices J Saunderson, PA Parrilo, AS Willsky SIAM Journal on Optimization 25 (3), 1314-1343, 2014 | 81 | 2014 |
| Analyzing hogwild parallel gaussian gibbs sampling MJ Johnson, J Saunderson, A Willsky Advances in neural information processing systems 26, 2715-2723, 2013 | 70 | 2013 |
| Spectral clustering with inconsistent advice T Coleman, J Saunderson, A Wirth Proceedings of the 25th international conference on Machine learning, 152-159, 2008 | 66 | 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 | 60* | 2016 |
| A local-search 2-approximation for 2-correlation-clustering T Coleman, J Saunderson, A Wirth European Symposium on Algorithms, 308-319, 2008 | 55 | 2008 |
| 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 | 43 | 2017 |
| Symmetric sums of squares over k-subset hypercubes A Raymond, J Saunderson, M Singh, RR Thomas Mathematical Programming, 1-40, 2016 | 36 | 2016 |
| 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 | 33 | 2018 |
| 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 | 26 | 2015 |
| Certifying polynomial nonnegativity via hyperbolic optimization J Saunderson SIAM Journal on Applied Algebra and Geometry 3 (4), 559-732, 2019 | 24 | 2019 |
| 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 | 24 | 2014 |
| Lieb's concavity theorem, matrix geometric means, and semidefinite optimization H Fawzi, J Saunderson Linear Algebra and its Applications 513, 240-263, 2017 | 22 | 2017 |
| 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 |
| 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 | 19 | 2022 |
| 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 | 18 | 2022 |
| A spectrahedral representation of the first derivative relaxation of the positive semidefinite cone J Saunderson Optimization Letters 12, 1475-1486, 2018 | 16 | 2018 |
| Equivariant semidefinite lifts of regular polygons H Fawzi, J Saunderson, PA Parrilo Mathematics of Operations Research 42 (2), 472-494, 2017 | 14 | 2017 |
Pablo A. ParriloProfessor of Electrical Engineering and Computer Science, Massachusetts Institute of Technology在 mit.edu 的电子邮件经过验证
