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Vyacheslav Kungurtsev
Vyacheslav Kungurtsev
Verified email at fel.cvut.cz
Title
Cited by
Cited by
Year
Asynchronous parallel algorithms for nonconvex optimization
L Cannelli, F Facchinei, V Kungurtsev, G Scutari
Mathematical Programming 184, 121-154, 2020
79*2020
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
772015
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
772015
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
772015
Second-order guarantees of distributed gradient algorithms
A Daneshmand, G Scutari, V Kungurtsev
SIAM Journal on Optimization 30 (4), 3029-3068, 2020
612020
Convergence and complexity analysis of a Levenberg–Marquardt algorithm for inverse problems
EH Bergou, Y Diouane, V Kungurtsev
Journal of Optimization Theory and Applications 185, 927-944, 2020
572020
A stabilized SQP method: global convergence
PE Gill, V Kungurtsev, DP Robinson
IMA Journal of Numerical Analysis 37 (1), 407-443, 2017
552017
A stabilized SQP method: superlinear convergence
PE Gill, V Kungurtsev, DP Robinson
Mathematical Programming 163 (1-2), 369-410, 2017
392017
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
282017
Sequential quadratic programming methods for parametric nonlinear optimization
V Kungurtsev, M Diehl
Computational Optimization and Applications 59, 475-509, 2014
252014
A subsampling line-search method with second-order results
EH Bergou, Y Diouane, V Kunc, V Kungurtsev, CW Royer
INFORMS Journal on Optimization 4 (4), 403-425, 2022
242022
A shifted primal-dual penalty-barrier method for nonlinear optimization
PE Gill, V Kungurtsev, DP Robinson
SIAM Journal on Optimization 30 (2), 1067-1093, 2020
222020
Asynchronous optimization over graphs: Linear convergence under error bound conditions
L Cannelli, F Facchinei, G Scutari, V Kungurtsev
IEEE Transactions on Automatic Control 66 (10), 4604-4619, 2020
212020
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
212016
Elastic consistency: A general consistency model for distributed stochastic gradient descent
G Nadiradze, I Markov, B Chatterjee, V Kungurtsev, D Alistarh
arXiv preprint arXiv:2001.05918, 2020
20*2020
Ghost penalties in nonconvex constrained optimization: Diminishing stepsizes and iteration complexity
F Facchinei, V Kungurtsev, L Lampariello, G Scutari
Mathematics of Operations Research 46 (2), 595-627, 2021
192021
Sensitivity-based economic NMPC with a path-following approach
E Suwartadi, V Kungurtsev, J Jäschke
Processes 5 (1), 8, 2017
182017
A Stochastic Levenberg--Marquardt Method Using Random Models with Complexity Results
EH Bergou, Y Diouane, V Kungurtsev, CW Royer
SIAM/ASA Journal on Uncertainty Quantification 10 (1), 507-536, 2022
17*2022
Second-derivative sequential quadratic programming methods for nonlinear optimization
V Kungurtsev
University of California, San Diego, 2013
152013
Mean-field analysis of piecewise linear solutions for wide ReLU networks
A Shevchenko, V Kungurtsev, M Mondelli
The Journal of Machine Learning Research 23 (1), 5660-5714, 2022
142022
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Articles 1–20