Andrei Patrascu

31 papers Misc 1Journal 22Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Detecting and Mitigating DDoS Attacks with AI: A Survey. CoRR Alexandru Apostu, Silviu Florin Gheorghe, Andrei Iulian Hîji, Nicolae Cleju, Andrei Patrascu, Cristian Rusu, Radu Tudor Ionescu, Paul Irofti
2024	J	`jnl`	Fusing Dictionary Learning and Support Vector Machines for Unsupervised Anomaly Detection. CoRR Paul Irofti, Andrei Iulian Hîji, Andrei Patrascu, Nicolae Cleju
2024	J	`jnl`	Learning Explicitly Conditioned Sparsifying Transforms. CoRR Andrei Patrascu, Cristian Rusu, Paul Irofti
2022	Misc	`conf`	Dictionary Learning with Uniform Sparse Representations for Anomaly Detection. ICASSP Paul Irofti, Cristian Rusu, Andrei Patrascu
2022	J	`jnl`	Dictionary Learning with Uniform Sparse Representations for Anomaly Detection. CoRR Paul Irofti, Cristian Rusu, Andrei Patrascu
2022	J	`jnl`	On finite termination of an inexact Proximal Point algorithm. Appl. Math. Lett. Andrei Patrascu, Paul Irofti
2022	—	`conf`	Unsupervised Abnormal Traffic Detection through Topological Flow Analysis. COMM Paul Irofti, Andrei Patrascu, Andrei Iulian Hîji
2022	J	`jnl`	Unsupervised Abnormal Traffic Detection through Topological Flow Analysis. CoRR Paul Irofti, Andrei Patrascu, Andrei Iulian Hîji
2021	J	`jnl`	Computational complexity of Inexact Proximal Point Algorithm for Convex Optimization under Holderian Growth. CoRR Andrei Patrascu, Paul Irofti
2021	J	`jnl`	Stochastic proximal splitting algorithm for composite minimization. Optim. Lett. Andrei Patrascu, Paul Irofti
2020	J	`jnl`	Stochastic Proximal Gradient Algorithm with Minibatches. Application to Large Scale Learning Models. CoRR Andrei Patrascu, Ciprian Paduraru, Paul Irofti
2019	J	`jnl`	Community-Level Anomaly Detection for Anti-Money Laundering. CoRR Andra Baltoiu, Andrei Patrascu, Paul Irofti
2019	J	`jnl`	Complexity of first-order inexact Lagrangian and penalty methods for conic convex programming. Optim. Methods Softw. Ion Necoara, Andrei Patrascu, François Glineur
2019	J	`jnl`	Fraud Detection in Networks: State-of-the-art. CoRR Paul Irofti, Andrei Patrascu, Andra Baltoiu
2019	J	`jnl`	On convergence rate of stochastic proximal point algorithm without strong convexity, smoothness or bounded gradients. CoRR Andrei Patrascu
2019	J	`jnl`	Randomized Projection Methods for Convex Feasibility: Conditioning and Convergence Rates. SIAM J. Optim. Ion Necoara, Peter Richtárik, Andrei Patrascu
2019	J	`jnl`	Stochastic proximal splitting algorithm for stochastic composite minimization. CoRR Andrei Patrascu, Paul Irofti
2018	—	`conf`	OR-SAGA: Over-relaxed stochastic average gradient mapping algorithms for finite sum minimization. ECC Ion Necoara, Andrei Patrascu
2018	J	`jnl`	On the Convergence of Inexact Projection Primal First-Order Methods for Convex Minimization. IEEE Trans. Autom. Control. Andrei Patrascu, Ion Necoara
2017	J	`jnl`	Adaptive inexact fast augmented Lagrangian methods for constrained convex optimization. Optim. Lett. Andrei Patrascu, Ion Necoara, Quoc Tran-Dinh
2017	J	`jnl`	Nonasymptotic convergence of stochastic proximal point methods for constrained convex optimization. J. Mach. Learn. Res. Andrei Patrascu, Ion Necoara
2016	—	`conf`	Complexity certifications of inexact projection primal gradient method for convex problems: Application to embedded MPC. MED Andrei Patrascu, Ion Necoara
2016	J	`jnl`	Iteration complexity analysis of dual first-order methods for conic convex programming. Optim. Methods Softw. Ion Necoara, Andrei Patrascu
2015	J	`jnl`	Efficient random coordinate descent algorithms for large-scale structured nonconvex optimization. J. Glob. Optim. Andrei Patrascu, Ion Necoara
2015	—	`conf`	On the behavior of first-order penalty methods for conic constrained convex programming when Lagrange multipliers do not exist. CDC Ion Necoara, Andrei Patrascu
2015	—	`conf`	Random Coordinate Descent Methods for Sparse Optimization: Application to Sparse Control. CSCS Andrei Patrascu, Ion Necoara
2015	J	`jnl`	Random Coordinate Descent Methods for ℓ IEEE Trans. Autom. Control. Andrei Patrascu, Ion Necoara
2015	—	`conf`	Rate of convergence analysis of a dual fast gradient method for general convex optimization. CDC Andrei Patrascu, Ion Necoara, Rolf Findeisen
2014	—	`conf`	A proximal alternating minimization method for ℓ0-regularized nonlinear optimization problems: application to state estimation. CDC Andrei Patrascu, Ion Necoara, Panagiotis Patrinos
2014	J	`jnl`	A random coordinate descent algorithm for optimization problems with composite objective function and linear coupled constraints. Comput. Optim. Appl. Ion Necoara, Andrei Patrascu
2013	—	`conf`	A random coordinate descent algorithm for large-scale sparse nonconvex optimization. ECC Andrei Patrascu, Ion Necoara