Natasa Krklec Jerinkic

Orcid: 0000-0001-5195-9295

According to our database1, Natasa Krklec Jerinkic authored at least 24 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
A non-monotone trust-region method with noisy oracles and additional sampling.
Comput. Optim. Appl., September, 2024

2023
Spectral projected subgradient method for nonsmooth convex optimization problems.
Numer. Algorithms, May, 2023

EFIX: Exact fixed point methods for distributed optimization.
J. Glob. Optim., March, 2023

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., 2023

2022
LSOS: Line-search second-order stochastic optimization methods for nonconvex finite sums.
Math. Comput., November, 2022

A Hessian Inversion-Free Exact Second Order Method for Distributed Consensus Optimization.
IEEE Trans. Signal Inf. Process. over Networks, 2022

2021
Performance evaluation and analysis of distributed multi-agent optimization algorithms with sparsified directed communication.
EURASIP J. Adv. Signal Process., 2021

Minimizing Nonsmooth Convex Functions with Variable Accuracy.
CoRR, 2021

Emotion pattern detection on facial videos using functional statistics.
CoRR, 2021

Distributed fixed point method for solving systems of linear algebraic equations.
Autom., 2021

2020
Distributed Second-Order Methods With Increasing Number of Working Nodes.
IEEE Trans. Autom. Control., 2020

Penalty variable sample size method for solving optimization problems with equality constraints in a form of mathematical expectation.
Numer. Algorithms, 2020

LSOS: Line-search Second-Order Stochastic optimization methods.
CoRR, 2020

2019
Spectral projected gradient method for stochastic optimization.
J. Glob. Optim., 2019

Exact spectral-like gradient method for distributed optimization.
Comput. Optim. Appl., 2019

Spectral-like gradient method for distributed optimization.
Proceedings of the IEEE EUROCON 2019, 2019

Distributed Trust-Region Method With First Order Models.
Proceedings of the IEEE EUROCON 2019, 2019

2018
Variable sample size method for equality constrained optimization problems.
Optim. Lett., 2018

2017
Newton-like Method with Diagonal Correction for Distributed Optimization.
SIAM J. Optim., 2017

Distributed second order methods with variable number of working nodes.
CoRR, 2017

2016
Distributed Gradient Methods with Variable Number of Working Nodes.
IEEE Trans. Signal Process., 2016

Distributed first and second order methods with increasing number of working nodes.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015
Nonmonotone line search methods with variable sample size.
Numer. Algorithms, 2015

2013
Line search methods with variable sample size for unconstrained optimization.
J. Comput. Appl. Math., 2013


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