עקוב אחר
Yakov Vaisbourd
Yakov Vaisbourd
Postdoctoral Researcher, Department of Mathematics and Statistics, McGill University
כתובת אימייל מאומתת בדומיין mcgill.ca - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
First order methods beyond convexity and Lipschitz gradient continuity with applications to quadratic inverse problems
J Bolte, S Sabach, M Teboulle, Y Vaisbourd
SIAM Journal on Optimization 28 (3), 2131-2151, 2018
2092018
Novel Proximal Gradient Methods for Nonnegative Matrix Factorization with Sparsity Constraints
M Teboulle, Y Vaisbourd
SIAM Journal on Imaging Sciences 13 (1), 381-421, 2020
262020
Globally Solving the Trust Region Subproblem Using Simple First-Order Methods
A Beck, Y Vaisbourd
SIAM Journal on Optimization 28 (3), 1951-1967, 2018
252018
The sparse principal component analysis problem: Optimality conditions and algorithms
A Beck, Y Vaisbourd
Journal of Optimization Theory and Applications 170, 119-143, 2016
252016
An elementary approach to tight worst case complexity analysis of gradient based methods
M Teboulle, Y Vaisbourd
Mathematical Programming 201, 63–96, 2022
102022
Rate of convergence analysis of dual-based variables decomposition methods for strongly convex problems
A Beck, L Tetruashvili, Y Vaisbourd, A Shemtov
Operations Research Letters 44 (1), 61-66, 2016
12016
Maximum Entropy on the Mean and the Cram\'er Rate Function in Statistical Estimation and Inverse Problems: Properties, Models, and Algorithms
Y Vaisbourd, R Choksi, A Goodwin, T Hoheisel, CB Schönlieb
arXiv preprint arXiv:2211.05205, 2022
2022
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מאמרים 1–7