A random coordinate descent algorithm for large-scale sparse nonconvex optimization. - Andrei Patrascu; Ion Necoara (ECC, 2013)

A proximal alternating minimization method for ℓ0-regularized nonlinear optimization problems: application to state estimation. - Andrei Patrascu; Ion Necoara; Panagiotis Patrinos (CDC, 2014)

A random coordinate descent algorithm for optimization problems with composite objective function and linear coupled constraints. - Ion Necoara; Andrei Patrascu (Comput. Optim. Appl., 2014)

On the behavior of first-order penalty methods for conic constrained convex programming when Lagrange multipliers do not exist. - Ion Necoara; Andrei Patrascu (CDC, 2015)

Rate of convergence analysis of a dual fast gradient method for general convex optimization. - Andrei Patrascu; Ion Necoara; Rolf Findeisen (CDC, 2015)

Random Coordinate Descent Methods for Sparse Optimization: Application to Sparse Control. - Andrei Patrascu; Ion Necoara (CSCS, 2015)

Efficient random coordinate descent algorithms for large-scale structured nonconvex optimization. - Andrei Patrascu; Ion Necoara (J. Glob. Optim., 2015)

Random Coordinate Descent Methods for ℓ0 Regularized Convex Optimization. - Andrei Patrascu; Ion Necoara (IEEE Trans. Autom. Control., 2015)

Complexity certifications of inexact projection primal gradient method for convex problems: Application to embedded MPC. - Andrei Patrascu; Ion Necoara (MED, 2016)

Iteration complexity analysis of dual first-order methods for conic convex programming. - Ion Necoara; Andrei Patrascu (Optim. Methods Softw., 2016)

Nonasymptotic convergence of stochastic proximal point methods for constrained convex optimization. - Andrei Patrascu; Ion Necoara (J. Mach. Learn. Res., 2017)

Adaptive inexact fast augmented Lagrangian methods for constrained convex optimization. - Andrei Patrascu; Ion Necoara; Quoc Tran-Dinh (Optim. Lett., 2017)

OR-SAGA: Over-relaxed stochastic average gradient mapping algorithms for finite sum minimization. - Ion Necoara; Andrei Patrascu (ECC, 2018)

On the Convergence of Inexact Projection Primal First-Order Methods for Convex Minimization. - Andrei Patrascu; Ion Necoara (IEEE Trans. Autom. Control., 2018)

On convergence rate of stochastic proximal point algorithm without strong convexity, smoothness or bounded gradients. - Andrei Patrascu (CoRR, 2019)

Fraud Detection in Networks: State-of-the-art. - Paul Irofti; Andrei Patrascu; Andra Baltoiu (CoRR, 2019)

Community-Level Anomaly Detection for Anti-Money Laundering. - Andra Baltoiu; Andrei Patrascu; Paul Irofti (CoRR, 2019)

Stochastic proximal splitting algorithm for stochastic composite minimization. - Andrei Patrascu; Paul Irofti (CoRR, 2019)

Complexity of first-order inexact Lagrangian and penalty methods for conic convex programming. - Ion Necoara; Andrei Patrascu; François Glineur (Optim. Methods Softw., 2019)

Randomized Projection Methods for Convex Feasibility: Conditioning and Convergence Rates. - Ion Necoara; Peter Richtárik; Andrei Patrascu (SIAM J. Optim., 2019)

Stochastic Proximal Gradient Algorithm with Minibatches. Application to Large Scale Learning Models. - Andrei Patrascu; Ciprian Paduraru; Paul Irofti (CoRR, 2020)

Computational complexity of Inexact Proximal Point Algorithm for Convex Optimization under Holderian Growth. - Andrei Patrascu; Paul Irofti (CoRR, 2021)

Stochastic proximal splitting algorithm for composite minimization. - Andrei Patrascu; Paul Irofti (Optim. Lett., 2021)

Dictionary Learning with Uniform Sparse Representations for Anomaly Detection. - Paul Irofti; Cristian Rusu; Andrei Patrascu (ICASSP, 2022)

Unsupervised Abnormal Traffic Detection through Topological Flow Analysis. - Paul Irofti; Andrei Patrascu; Andrei Iulian Hîji (COMM, 2022)

On finite termination of an inexact Proximal Point algorithm. - Andrei Patrascu; Paul Irofti (Appl. Math. Lett., 2022)

Learning Explicitly Conditioned Sparsifying Transforms. - Andrei Patrascu; Cristian Rusu; Paul Irofti (CoRR, 2024)

Fusing Dictionary Learning and Support Vector Machines for Unsupervised Anomaly Detection. - Paul Irofti; Andrei Iulian Hîji; Andrei Patrascu; Nicolae Cleju (CoRR, 2024)

Detecting and Mitigating DDoS Attacks with AI: A Survey. - Alexandru Apostu; Silviu Florin Gheorghe; Andrei Iulian Hîji; Nicolae Cleju; Andrei Patrascu; Cristian Rusu; Radu Tudor Ionescu; Paul Irofti (CoRR, 2025)