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
2022018
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
252020
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
242016
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