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James Saunderson
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Books and Theses
- 2015
- [b1]James Saunderson:
Semidenite representations with applications in estimation and inference. Massachusetts Institute of Technology, Cambridge, MA, USA, 2015
Journal Articles
- 2024
- [j23]Bruno F. Lourenço, Vera Roshchina
, James Saunderson
:
Hyperbolicity cones are amenable. Math. Program. 204(1): 753-764 (2024) - [j22]Brendon McBain
, Emanuele Viterbo
, James Saunderson
:
Information Rates of the Noisy Nanopore Channel. IEEE Trans. Inf. Theory 70(8): 5640-5652 (2024) - [j21]Kerry He
, James Saunderson
, Hamza Fawzi
:
A Bregman Proximal Perspective on Classical and Quantum Blahut-Arimoto Algorithms. IEEE Trans. Inf. Theory 70(8): 5710-5730 (2024) - 2023
- [j20]Alex Tritt
, Joshua Morris, Joel Hochstetter, R. P. Anderson, James Saunderson, L. D. Turner:
Spinsim: A GPU optimized python package for simulating spin-half and spin-one quantum systems. Comput. Phys. Commun. 287: 108701 (2023) - [j19]James Saunderson
:
A Convex Form That Is Not a Sum of Squares. Math. Oper. Res. 48(1): 569-582 (2023) - [j18]James Saunderson
, Venkat Chandrasekaran:
Terracini convexity. Math. Program. 198(1): 399-441 (2023) - [j17]Hamza Fawzi, James Saunderson
:
Optimal Self-Concordant Barriers for Quantum Relative Entropies. SIAM J. Optim. 33(4): 2858-2884 (2023) - 2022
- [j16]Bruno F. Lourenço, Vera Roshchina
, James Saunderson
:
Amenable Cones Are Particularly Nice. SIAM J. Optim. 32(3): 2347-2375 (2022) - [j15]Hamza Fawzi
, João Gouveia
, Pablo A. Parrilo
, James Saunderson
, Rekha R. Thomas:
Lifting for Simplicity: Concise Descriptions of Convex Sets. SIAM Rev. 64(4): 866-918 (2022) - 2021
- [j14]Nimita Shinde, Vishnu Narayanan, James Saunderson
:
Memory-Efficient Structured Convex Optimization via Extreme Point Sampling. SIAM J. Math. Data Sci. 3(3): 787-814 (2021) - 2020
- [j13]James Saunderson
:
Limitations on the Expressive Power of Convex Cones without Long Chains of Faces. SIAM J. Optim. 30(1): 1033-1047 (2020) - 2019
- [j12]Hamza Fawzi, James Saunderson
, Pablo A. Parrilo
:
Semidefinite Approximations of the Matrix Logarithm. Found. Comput. Math. 19(2): 259-296 (2019) - [j11]James Saunderson
:
Certifying Polynomial Nonnegativity via Hyperbolic Optimization. SIAM J. Appl. Algebra Geom. 3(4): 661-690 (2019) - [j10]Nate Veldt
, David F. Gleich
, Anthony Wirth, James Saunderson
:
Metric-Constrained Optimization for Graph Clustering Algorithms. SIAM J. Math. Data Sci. 1(2): 333-355 (2019) - 2018
- [j9]Annie Raymond
, James Saunderson
, Mohit Singh, Rekha R. Thomas:
Symmetric sums of squares over k-subset hypercubes. Math. Program. 167(2): 315-354 (2018) - [j8]Reza Eghbali, James Saunderson
, Maryam Fazel:
Competitive online algorithms for resource allocation over the positive semidefinite cone. Math. Program. 170(1): 267-292 (2018) - [j7]James Saunderson
:
A spectrahedral representation of the first derivative relaxation of the positive semidefinite cone. Optim. Lett. 12(7): 1475-1486 (2018) - 2017
- [j6]Hamza Fawzi, James Saunderson
, Pablo A. Parrilo
:
Equivariant Semidefinite Lifts of Regular Polygons. Math. Oper. Res. 42(2): 472-494 (2017) - 2016
- [j5]Hamza Fawzi, James Saunderson
, Pablo A. Parrilo
:
Sparse sums of squares on finite abelian groups and improved semidefinite lifts. Math. Program. 160(1-2): 149-191 (2016) - 2015
- [j4]James Saunderson
, Pablo A. Parrilo
:
Polynomial-sized semidefinite representations of derivative relaxations of spectrahedral cones. Math. Program. 153(2): 309-331 (2015) - [j3]James Saunderson
, Pablo A. Parrilo
, Alan S. Willsky:
Semidefinite Descriptions of the Convex Hull of Rotation Matrices. SIAM J. Optim. 25(3): 1314-1343 (2015) - [j2]Hamza Fawzi, James Saunderson
, Pablo A. Parrilo
:
Equivariant Semidefinite Lifts and Sum-of-Squares Hierarchies. SIAM J. Optim. 25(4): 2212-2243 (2015) - 2012
- [j1]James Saunderson
, Venkat Chandrasekaran, Pablo A. Parrilo
, Alan S. Willsky:
Diagonal and Low-Rank Matrix Decompositions, Correlation Matrices, and Ellipsoid Fitting. SIAM J. Matrix Anal. Appl. 33(4): 1395-1416 (2012)
Conference and Workshop Papers
- 2023
- [c16]Oisin Faust, Hamza Fawzi, James Saunderson:
A Bregman Divergence View on the Difference-of-Convex Algorithm. AISTATS 2023: 3427-3439 - [c15]Chi Bach Pham, Wynita Griggs, James Saunderson:
A Scalable Frank-Wolfe-Based Algorithm for the Max-Cut SDP. ICML 2023: 27822-27839 - [c14]Brendon McBain, Emanuele Viterbo, James Saunderson:
Homophonic Coding for the Noisy Nanopore Channel with Constrained Markov Sources. ISIT 2023: 376-381 - 2022
- [c13]Brendon McBain
, Emanuele Viterbo, James Saunderson:
Finite-State Semi-Markov Channels for Nanopore Sequencing. ISIT 2022: 216-221 - 2021
- [c12]Nimita Shinde, Vishnu Narayanan, James Saunderson:
Memory-Efficient Approximation Algorithms for Max-k-Cut and Correlation Clustering. NeurIPS 2021: 8269-8281 - 2017
- [c11]Amir Ali Ahmadi, Georgina Hall, Antonis Papachristodoulou
, James Saunderson
, Yang Zheng
:
Improving efficiency and scalability of sum of squares optimization: Recent advances and limitations. CDC 2017: 453-462 - [c10]Amin Jalali, James Saunderson
, Maryam Fazel, Babak Hassibi:
Error bounds for Bregman denoising and structured natural parameter estimation. ISIT 2017: 2273-2277 - 2016
- [c9]Kishore Jaganathan, James Saunderson
, Maryam Fazel, Yonina C. Eldar, Babak Hassibi:
Phaseless super-resolution using masks. ICASSP 2016: 4039-4043 - [c8]James Saunderson
, Maryam Fazel, Babak Hassibi:
Simple algorithms and guarantees for low rank matrix completion over F2. ISIT 2016: 86-90 - 2015
- [c7]Hamza Fawzi, James Saunderson
, Pablo A. Parrilo
:
Sparse sum-of-squares certificates on finite abelian groups. CDC 2015: 5909-5914 - 2014
- [c6]James Saunderson
, Pablo A. Parrilo
, Alan S. Willsky:
Semidefinite relaxations for optimization problems over rotation matrices. CDC 2014: 160-166 - 2013
- [c5]James Saunderson
, Pablo A. Parrilo
, Alan S. Willsky:
Diagonal and low-rank decompositions and fitting ellipsoids to random points. CDC 2013: 6031-6036 - [c4]Matthew J. Johnson, James Saunderson, Alan S. Willsky:
Analyzing Hogwild Parallel Gaussian Gibbs Sampling. NIPS 2013: 2715-2723 - 2011
- [c3]James Saunderson
, Venkat Chandrasekaran, Pablo A. Parrilo
, Alan S. Willsky:
Tree-structured statistical modeling via convex optimization. CDC/ECC 2011: 2883-2888 - 2008
- [c2]Tom Coleman, James Saunderson
, Anthony Wirth:
A Local-Search 2-Approximation for 2-Correlation-Clustering. ESA 2008: 308-319 - [c1]Tom Coleman, James Saunderson
, Anthony Wirth:
Spectral clustering with inconsistent advice. ICML 2008: 152-159
Informal and Other Publications
- 2024
- [i7]Brendon McBain, James Saunderson, Emanuele Viterbo:
On noisy duplication channels with Markov sources. CoRR abs/2405.05555 (2024) - 2023
- [i6]Kerry He, James Saunderson, Hamza Fawzi:
A Mirror Descent Perspective on Classical and Quantum Blahut-Arimoto Algorithms. CoRR abs/2306.04492 (2023) - [i5]Kerry He, James Saunderson, Hamza Fawzi:
Efficient Computation of the Quantum Rate-Distortion Function. CoRR abs/2309.15919 (2023) - 2022
- [i4]Brendon McBain, Emanuele Viterbo, James Saunderson:
Finite-State Semi-Markov Channels for Nanopore Sequencing. CoRR abs/2205.04187 (2022) - 2018
- [i3]Reza Eghbali, James Saunderson, Maryam Fazel:
Competitive Online Algorithms for Resource Allocation over the Positive Semidefinite Cone. CoRR abs/1802.01312 (2018) - [i2]Nate Veldt, David F. Gleich, Anthony Wirth, James Saunderson:
A Projection Method for Metric-Constrained Optimization. CoRR abs/1806.01678 (2018) - 2014
- [i1]Hamza Fawzi, James Saunderson
, Pablo A. Parrilo:
Equivariant semidefinite lifts of regular polygons. CoRR abs/1409.4379 (2014)
Coauthor Index
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