| 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 | 67 | 2015 |
| 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 | 67 | 2015 |
| 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 | 67 | 2015 |
| Asynchronous parallel algorithms for nonconvex optimization L Cannelli, F Facchinei, V Kungurtsev, G Scutari Mathematical Programming 184 (1), 121-154, 2020 | 62* | 2020 |
| A stabilized SQP method: global convergence PE Gill, V Kungurtsev, DP Robinson IMA Journal of Numerical Analysis 37 (1), 407-443, 2017 | 46 | 2017 |
| Second-order guarantees of distributed gradient algorithms A Daneshmand, G Scutari, V Kungurtsev SIAM Journal on Optimization 30 (4), 3029-3068, 2020 | 35 | 2020 |
| A stabilized SQP method: superlinear convergence PE Gill, V Kungurtsev, DP Robinson Mathematical Programming 163 (1), 369-410, 2017 | 33 | 2017 |
| 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 | 22 | 2017 |
| 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 (3), 927-944, 2020 | 21 | 2020 |
| Sequential quadratic programming methods for parametric nonlinear optimization V Kungurtsev, M Diehl Computational Optimization and Applications 59 (3), 475-509, 2014 | 20 | 2014 |
| Sensitivity-based economic NMPC with a path-following approach E Suwartadi, V Kungurtsev, J Jäschke Processes 5 (1), 8, 2017 | 19 | 2017 |
| 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 | 19 | 2016 |
| 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 | 15 | 2018 |
| Second-derivative sequential quadratic programming methods for nonlinear optimization V Kungurtsev University of California, San Diego, 2013 | 15 | 2013 |
| Second-order guarantees of gradient algorithms over networks A Daneshmand, G Scutari, V Kungurtsev 2018 56th Annual Allerton Conference on Communication, Control, and …, 2018 | 13 | 2018 |
| 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 | 12* | 2020 |
| 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 | 12 | 2020 |
| 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 | 12 | 2013 |
| 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 | 11 | 2021 |
| 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 | 10 | 2020 |
Gesualdo ScutariSchool of Industrial Engineering, Purdue UniversityVerifisert e-postadresse på purdue.edu
