A random coordinate descent algorithm for optimization problems with composite objective function and linear coupled constraints I Necoara, A Patrascu Computational Optimization and Applications 57 (2), 307-337, 2014 | 107 | 2014 |
Efficient random coordinate descent algorithms for large-scale structured nonconvex optimization A Patrascu, I Necoara Journal of Global Optimization 61 (1), 19-46, 2015 | 101 | 2015 |
Nonasymptotic convergence of stochastic proximal point methods for constrained convex optimization A Patrascu, I Necoara Journal of Machine Learning Research 18 (198), 1-42, 2018 | 84 | 2018 |
Complexity of first-order inexact Lagrangian and penalty methods for conic convex programming I Necoara, A Patrascu, F Glineur Optimization Methods and Software 34 (2), 305-335, 2019 | 52 | 2019 |
Randomized projection methods for convex feasibility: Conditioning and convergence rates I Necoara, P Richtárik, A Patrascu SIAM Journal on Optimization 29 (4), 2814-2852, 2019 | 49 | 2019 |
Iteration complexity analysis of dual first-order methods for conic convex programming I Necoara, A Patrascu Optimization Methods and Software 31 (3), 645-678, 2016 | 38* | 2016 |
Random Coordinate Descent Methods forRegularized Convex Optimization A Patrascu, I Necoara IEEE Transactions on Automatic Control 60 (7), 1811-1824, 2015 | 35 | 2015 |
Adaptive inexact fast augmented Lagrangian methods for constrained convex optimization A Patrascu, I Necoara, Q Tran-Dinh Optimization Letters 11, 609-626, 2017 | 27 | 2017 |
On the convergence of inexact projection primal first-order methods for convex minimization A Patrascu, I Necoara IEEE Transactions on Automatic Control 63 (10), 3317-3329, 2018 | 15 | 2018 |
Community-level anomaly detection for anti-money laundering A Baltoiu, A Patrascu, P Irofti arXiv preprint arXiv:1910.11313, 2019 | 7 | 2019 |
Rate of convergence analysis of a dual fast gradient method for general convex optimization A Patrascu, I Necoara, R Findeisen 2015 54th IEEE Conference on Decision and Control (CDC), 3311-3316, 2015 | 7 | 2015 |
DuQuad: an inexact (augmented) dual first order algorithm for quadratic programming I Necoara, A Patrascu arXiv preprint arXiv:1504.05708, 2015 | 5 | 2015 |
Fraud detection in networks: State-of-the-art P Irofti, A Patrascu, A Baltoiu arXiv preprint arXiv:1910.11299, 2019 | 4 | 2019 |
Efficient first order methods for sparse convex optimization A Patrascu PhD Thesis. University Politehnica of Bucharest, 2015. http://acse. pub. ro …, 0 | 4 | |
Complexity certifications of first-order inexact lagrangian methods for general convex programming: Application to real-time mpc I Necoara, A Patrascu, A Nediæ Developments in Model-Based Optimization and Control: Distributed Control …, 2015 | 3 | 2015 |
A random coordinate descent algorithm for large-scale sparse nonconvex optimization A Patrascu, I Necoara 2013 European Control Conference (ECC), 2789-2794, 2013 | 3 | 2013 |
Complexity certifications of inexact projection primal gradient method for convex problems: Application to embedded MPC A Patrascu, I Necoara 2016 24th Mediterranean Conference on Control and Automation (MED), 125-130, 2016 | 2 | 2016 |
Implementable fast augmented Lagrangian optimization algorithm with application in embedded MPC A Patrascu, I Necoara, M Barbu, S Caraman 2015 19th International Conference on System Theory, Control and Computing …, 2015 | 2 | 2015 |
A proximal alternating minimization method for ℓ0-regularized nonlinear optimization problems: application to state estimation A Patrascu, I Necoara, P Patrinos 53rd IEEE Conference on Decision and Control, 4254-4259, 2014 | 2 | 2014 |
A linear MPC algorithm for embedded systems with computational complexity guarantees I Necoara, F Stoican, D Clipici, A Patrascu, M Hovd 2014 18th International Conference on System Theory, Control and Computing …, 2014 | 2 | 2014 |