Andre Milzarek

Orcid: 0000-0002-6784-5417

According to our database1, Andre Milzarek authored at least 22 papers between 2013 and 2025.

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

Timeline

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Bibliography

2025
A trust region-type normal map-based semismooth Newton method for nonsmooth nonconvex composite optimization.
Math. Program., July, 2025

Obtaining Pseudoinverse Solutions with MINRES.
SIAM J. Matrix Anal. Appl., 2025

2024
Descent Properties of an Anderson Accelerated Gradient Method with Restarting.
SIAM J. Optim., March, 2024

A Semismooth Newton Stochastic Proximal Point Algorithm with Variance Reduction.
SIAM J. Optim., March, 2024

A Generalized Version of Chung's Lemma and its Applications.
CoRR, 2024

A KL-based Analysis Framework with Applications to Non-Descent Optimization Methods.
CoRR, 2024

Convergence of SGD with momentum in the nonconvex case: A novel time window-based analysis.
CoRR, 2024

2023
Nonmonotone Globalization for Anderson Acceleration via Adaptive Regularization.
J. Sci. Comput., July, 2023

Convergence of Random Reshuffling under the Kurdyka-Łojasiewicz Inequality.
SIAM J. Optim., June, 2023

Distributed Random Reshuffling Over Networks.
IEEE Trans. Signal Process., 2023

A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization.
CoRR, 2023

Obtaining Pseudo-inverse Solutions With MINRES.
CoRR, 2023

Convergence of a Normal Map-based Prox-SGD Method under the KL Inequality.
CoRR, 2023

2022
On the geometric analysis of a quartic-quadratic optimization problem under a spherical constraint.
Math. Program., 2022

A stochastic extra-step quasi-Newton method for nonsmooth nonconvex optimization.
Math. Program., 2022

A Unified Convergence Theorem for Stochastic Optimization Methods.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Distributed Random Reshuffling over Networks.
CoRR, 2021

2020
Nonmonotone Globalization for Anderson Acceleration Using Adaptive Regularization.
CoRR, 2020

2019
A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization.
SIAM J. Optim., 2019

2018
Adaptive Quadratically Regularized Newton Method for Riemannian Optimization.
SIAM J. Matrix Anal. Appl., 2018

2014
A Semismooth Newton Method with Multidimensional Filter Globalization for l<sub>1</sub>-Optimization.
SIAM J. Optim., 2014

2013
Adaptive Regularized Self-Consistent Field Iteration with Exact Hessian for Electronic Structure Calculation.
SIAM J. Sci. Comput., 2013


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