Natasa Krklec Jerinkic

32 papers Journal 29Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Variable metric proximal stochastic gradient methods with additional sampling. Comput. Optim. Appl. Natasa Krklec Jerinkic, Federica Porta, Valeria Ruggiero, Ilaria Trombini
2025	J	`jnl`	AS-BOX: Additional Sampling Method for Weighted Sum Problems with Box Constraints. CoRR Natasa Krejic, Natasa Krklec Jerinkic, Tijana Ostojic, Nemanja Vucicevic
2025	J	`jnl`	Spectral stochastic gradient method with additional sampling for finite and infinite sums. Comput. Optim. Appl. Natasa Krklec Jerinkic, Valeria Ruggiero, Ilaria Trombini
2024	J	`jnl`	A non-monotone trust-region method with noisy oracles and additional sampling. Comput. Optim. Appl. Natasa Krejic, Natasa Krklec Jerinkic, Angeles Martinez, Mahsa Yousefi
2024	J	`jnl`	AN-SPS: adaptive sample size nonmonotone line search spectral projected subgradient method for convex constrained optimization problems. Optim. Methods Softw. Natasa Krklec Jerinkic, Tijana Ostojic
2023	J	`jnl`	An inexact restoration-nonsmooth algorithm with variable accuracy for stochastic nonsmooth convex optimization problems in machine learning and stochastic linear complementarity problems. J. Comput. Appl. Math. Natasa Krejic, Natasa Krklec Jerinkic, Tijana Ostojic
2023	J	`jnl`	EFIX: Exact fixed point methods for distributed optimization. J. Glob. Optim. Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
2023	J	`jnl`	Spectral projected subgradient method for nonsmooth convex optimization problems. Numer. Algorithms Natasa Krejic, Natasa Krklec Jerinkic, Tijana Ostojic
2022	J	`jnl`	A Hessian Inversion-Free Exact Second Order Method for Distributed Consensus Optimization. IEEE Trans. Signal Inf. Process. over Networks Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
2022	J	`jnl`	A Hessian inversion-free exact second order method for distributed consensus optimization. CoRR Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
2022	J	`jnl`	LSOS: Line-search second-order stochastic optimization methods for nonconvex finite sums. Math. Comput. Daniela di Serafino, Natasa Krejic, Natasa Krklec Jerinkic, Marco Viola
2022	J	`jnl`	Spectral Projected Subgradient Method for Nonsmooth Convex Optimization Problems. CoRR Natasa Krejic, Natasa Krklec Jerinkic, Tijana Ostojic
2021	J	`jnl`	Distributed fixed point method for solving systems of linear algebraic equations. Autom. Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic, Greta Malaspina, Alessandra Micheletti
2021	J	`jnl`	Emotion pattern detection on facial videos using functional statistics. CoRR Rongjiao Ji, Alessandra Micheletti, Natasa Krklec Jerinkic, Zoranka Desnica
2021	J	`jnl`	Minimizing Nonsmooth Convex Functions with Variable Accuracy. CoRR Natasa Krejic, Natasa Krklec Jerinkic, Tijana Ostojic
2021	J	`jnl`	Performance evaluation and analysis of distributed multi-agent optimization algorithms with sparsified directed communication. EURASIP J. Adv. Signal Process. Lidija Fodor, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic, Srdan Skrbic
2020	J	`jnl`	Distributed Fixed Point Method for Solving Systems of Linear Algebraic Equations. CoRR Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic, Greta Malaspina, Alessandra Micheletti
2020	J	`jnl`	Distributed Second-Order Methods With Increasing Number of Working Nodes. IEEE Trans. Autom. Control. Natasa Krklec Jerinkic, Dusan Jakovetic, Natasa Krejic, Dragana Bajovic
2020	J	`jnl`	LSOS: Line-search Second-Order Stochastic optimization methods. CoRR Daniela di Serafino, Natasa Krejic, Natasa Krklec Jerinkic, Marco Viola
2020	J	`jnl`	Penalty variable sample size method for solving optimization problems with equality constraints in a form of mathematical expectation. Numer. Algorithms Natasa Krklec Jerinkic, Andrea Roznjik
2019	—	`conf`	Distributed Trust-Region Method With First Order Models. EUROCON Aleksandar Armacki, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
2019	J	`jnl`	Exact spectral-like gradient method for distributed optimization. Comput. Optim. Appl. Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
2019	J	`jnl`	Spectral projected gradient method for stochastic optimization. J. Glob. Optim. Natasa Krejic, Natasa Krklec Jerinkic
2019	—	`conf`	Spectral-like gradient method for distributed optimization. EUROCON Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
2018	J	`jnl`	Variable sample size method for equality constrained optimization problems. Optim. Lett. Natasa Krejic, Natasa Krklec Jerinkic, Andrea Roznjik
2017	J	`jnl`	Distributed second order methods with variable number of working nodes. CoRR Dragana Bajovic, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
2017	J	`jnl`	Newton-like Method with Diagonal Correction for Distributed Optimization. SIAM J. Optim. Dragana Bajovic, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
2016	J	`jnl`	Distributed Gradient Methods with Variable Number of Working Nodes. IEEE Trans. Signal Process. Dusan Jakovetic, Dragana Bajovic, Natasa Krejic, Natasa Krklec Jerinkic
2016	—	`conf`	Distributed first and second order methods with increasing number of working nodes. GlobalSIP Dusan Jakovetic, Natasa Krklec Jerinkic, Natasa Krejic, Dragana Bajovic
2015	J	`jnl`	Distributed Gradient Methods with Variable Number of Working Nodes. CoRR Dusan Jakovetic, Dragana Bajovic, Natasa Krejic, Natasa Krklec Jerinkic
2015	J	`jnl`	Newton-like method with diagonal correction for distributed optimization. CoRR Dragana Bajovic, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
2015	J	`jnl`	Nonmonotone line search methods with variable sample size. Numer. Algorithms Natasa Krejic, Natasa Krklec Jerinkic