Vyacheslav Kungurtsev
Vyacheslav Kungurtsev
Verifierad e-postadress på fel.cvut.cz
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Hybrid random/deterministic parallel algorithms for convex and nonconvex big data optimization
A Daneshmand, F Facchinei, V Kungurtsev, G Scutari
IEEE Transactions on Signal Processing 63 (15), 3914-3929, 2015
592015
Hybrid random/deterministic parallel algorithms for convex and nonconvex big data optimization
A Daneshmand, F Facchinei, V Kungurtsev, G Scutari
IEEE Transactions on Signal Processing 63 (15), 3914-3929, 2015
592015
Hybrid random/deterministic parallel algorithms for convex and nonconvex big data optimization
A Daneshmand, F Facchinei, V Kungurtsev, G Scutari
IEEE Transactions on Signal Processing 63 (15), 3914-3929, 2015
592015
Asynchronous parallel algorithms for nonconvex big-data optimization. part ii: Complexity and numerical results
L Cannelli, F Facchinei, V Kungurtsev, G Scutari
arXiv preprint arXiv:1701.04900, 2017
47*2017
A stabilized SQP method: global convergence
PE Gill, V Kungurtsev, DP Robinson
IMA Journal of Numerical Analysis 37 (1), 407-443, 2017
362017
A stabilized SQP method: superlinear convergence
PE Gill, V Kungurtsev, DP Robinson
Mathematical Programming 163 (1-2), 369-410, 2017
262017
Second-order guarantees of distributed gradient algorithms
A Daneshmand, G Scutari, V Kungurtsev
SIAM Journal on Optimization 30 (4), 3029-3068, 2020
242020
Asynchronous parallel algorithms for nonconvex big-data optimization-part i: Model and convergence
L Cannelli, F Facchinei, V Kungurtsev, G Scutari
arXiv preprint arXiv:1607.04818, 2016
172016
A predictor-corrector path-following algorithm for dual-degenerate parametric optimization problems
V Kungurtsev, J Jaschke
SIAM Journal on Optimization 27 (1), 538-564, 2017
162017
Sensitivity-based economic NMPC with a path-following approach
E Suwartadi, V Kungurtsev, J Jäschke
Processes 5 (1), 8, 2017
152017
Second-derivative sequential quadratic programming methods for nonlinear optimization
V Kungurtsev
UC San Diego, 2013
142013
Ghost penalties in nonconvex constrained optimization: Diminishing stepsizes and iteration complexity
F Facchinei, V Kungurtsev, L Lampariello, G Scutari
arXiv preprint arXiv:1709.03384, 2017
132017
Sequential quadratic programming methods for parametric nonlinear optimization
V Kungurtsev, M Diehl
Computational Optimization and Applications 59 (3), 475-509, 2014
122014
Second-order guarantees of gradient algorithms over networks
A Daneshmand, G Scutari, V Kungurtsev
2018 56th Annual Allerton Conference on Communication, Control, and …, 2018
112018
A regularized SQP method with convergence to second-order optimal points
PE Gill, V Kungurtsev, DP Robinson
UCSD Center for computational mathematics technical report CCoM-13-4, 2013
112013
Capacity sensitivity in additive non-gaussian noise channels
M Egan, SM Perlaza, V Kungurtsev
2017 IEEE International Symposium on Information Theory (ISIT), 416-420, 2017
102017
SQP methods for parametric nonlinear optimization
V Kungurtsev, M Diehl
Optimization Online, 1-35, 2014
92014
A subsampling line-search method with second-order results
E Bergou, Y Diouane, V Kunc, V Kungurtsev, CW Royer
arXiv preprint arXiv:1810.07211, 2018
82018
Asynchronous parallel nonconvex large-scale optimization
L Cannelli, F Facchinei, V Kungurtsev, G Scutari
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
62017
Stochastic gradient Langevin dynamics on a distributed network
V Kungurtsev
arXiv preprint arXiv:2001.00665, 2020
52020
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Artiklar 1–20