Matrix computations (3rd ed.)
Polynomial Instances of the Positive Semidefinite and Euclidean Distance Matrix Completion Problems
SIAM Journal on Matrix Analysis and Applications
Complexity of Quantifier Elimination in the Theory of Algebraically Closed Fields
Proceedings of the Mathematical Foundations of Computer Science 1984
Smooth minimization of non-smooth functions
Mathematical Programming: Series A and B
Local Minima and Convergence in Low-Rank Semidefinite Programming
Mathematical Programming: Series A and B
Fast maximum margin matrix factorization for collaborative prediction
ICML '05 Proceedings of the 22nd international conference on Machine learning
On the solution of large-scale SDP problems by the modified barrier method using iterative solvers
Mathematical Programming: Series A and B
Proceedings of the 2007 international workshop on Symbolic-numeric computation
Proceedings of the twenty-first international symposium on Symbolic and algebraic computation
Computing sum of squares decompositions with rational coefficients
Theoretical Computer Science
An accelerated gradient method for trace norm minimization
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Fixed-Point Continuation for $\ell_1$-Minimization: Methodology and Convergence
SIAM Journal on Optimization
Regularization Methods for Semidefinite Programming
SIAM Journal on Optimization
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
SIAM Journal on Imaging Sciences
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
SIAM Journal on Imaging Sciences
Exact Matrix Completion via Convex Optimization
Foundations of Computational Mathematics
Interior-Point Method for Nuclear Norm Approximation with Application to System Identification
SIAM Journal on Matrix Analysis and Applications
The power of convex relaxation: near-optimal matrix completion
IEEE Transactions on Information Theory
Optimization Methods & Software
A Newton-CG Augmented Lagrangian Method for Semidefinite Programming
SIAM Journal on Optimization
A Singular Value Thresholding Algorithm for Matrix Completion
SIAM Journal on Optimization
SIAM Journal on Scientific Computing
Convergence of Fixed-Point Continuation Algorithms for Matrix Rank Minimization
Foundations of Computational Mathematics
Journal of Symbolic Computation
Initialization in semidefinite programming via a self-dual skew-symmetric embedding
Operations Research Letters
Semi-supervised learning with mixed knowledge information
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Computing real solutions of polynomial systems via low-rank moment matrix completion
Proceedings of the 37th International Symposium on Symbolic and Algebraic Computation
Semi-supervised learning with nuclear norm regularization
Pattern Recognition
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The problem of computing a representation for a real polynomial as a sum of minimum number of squares of polynomials can be casted as finding a symmetric positive semidefinite real matrix of minimum rank subject to linear equality constraints. In this paper, we propose algorithms for solving the minimum-rank Gram matrix completion problem, and show the convergence of these algorithms. Our methods are based on the fixed point continuation method. We also use the Barzilai-Borwein technique and a specific linear combination of two previous iterates to accelerate the convergence of modified fixed point continuation algorithms. We demonstrate the effectiveness of our algorithms for computing approximate and exact rational sum of squares decompositions of polynomials with rational coefficients.