Stephen A. Vavasis

Affiliations: 
Cornell University, Ithaca, NY, United States 
Area:
Mathematics
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"Stephen Vavasis"

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Robert W. Freimer grad student 2000 Cornell
Victoria E. Howle grad student 2001 Cornell
Gudbjorn F. Jonsson grad student 2001 Cornell
Suzanne M. Shontz grad student 2005 Cornell
Gun Srijuntongsiri grad student 2008 Cornell
Jaime H. Barrera grad student 2011 Cornell
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Publications

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Vavasis SA, Papoulia KD, Hirmand MR. (2020) Second-order cone interior-point method for quasistatic and moderate dynamic cohesive fracture Computer Methods in Applied Mechanics and Engineering. 358: 112633
Gillis N, Vavasis SA. (2018) On the Complexity of Robust PCA and ℓ1-Norm Low-Rank Matrix Approximation Mathematics of Operations Research. 43: 1072-1084
Karimi S, Vavasis SA. (2017) IMRO: A Proximal Quasi-Newton Method for Solving $\ell_1$-Regularized Least Squares Problems Siam Journal On Optimization. 27: 583-615
Gillis N, Vavasis SA. (2015) Semidefinite Programming Based Preconditioning for More Robust Near-Separable Nonnegative Matrix Factorization Siam Journal On Optimization. 25: 677-698
Gillis N, Vavasis SA. (2014) Fast and Robust Recursive Algorithmsfor Separable Nonnegative Matrix Factorization. Ieee Transactions On Pattern Analysis and Machine Intelligence. 36: 698-714
Drusvyatskiy D, Vavasis SA, Wolkowicz H. (2014) Extreme point inequalities and geometry of the rank sparsity ball Mathematical Programming. 152: 521-544
Ames BPW, Vavasis SA. (2014) Convex optimization for the planted k-disjoint-clique problem Mathematical Programming. 143: 299-337
Sastry SP, Shontz SM, Vavasis SA. (2014) A log-barrier method for mesh quality improvement and untangling Engineering With Computers. 30: 315-329
Doan XV, Toh K, Vavasis SA. (2013) A Proximal Point Algorithm for Sequential Feature Extraction Applications Siam Journal On Scientific Computing. 35
Doan XV, Vavasis SA. (2013) Finding Approximately Rank-One Submatrices with the Nuclear Norm and $\ell_1$-Norm Siam Journal On Optimization. 23: 2502-2540
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