Andre Milzarek

According to our database, Andre Milzarek authored at least 19 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Descent Properties of an Anderson Accelerated Gradient Method with Restarting.

Wenqing Ouyang, Yang Liu, Andre Milzarek

SIAM J. Optim., March, 2024

A Semismooth Newton Stochastic Proximal Point Algorithm with Variance Reduction.

Andre Milzarek, Fabian Schaipp, Michael Ulbrich

SIAM J. Optim., March, 2024

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

Li Jiang, Xiao Li, Andre Milzarek, Junwen Qiu

CoRR, 2024

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

Junwen Qiu, Bohao Ma, Xiao Li, Andre Milzarek

CoRR, 2024

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

Junwen Qiu, Bohao Ma, Andre Milzarek

CoRR, 2024

2023

Nonmonotone Globalization for Anderson Acceleration via Adaptive Regularization.

Wenqing Ouyang, Jiong Tao, Andre Milzarek, Bailin Deng

J. Sci. Comput., July, 2023

Convergence of Random Reshuffling under the Kurdyka-Łojasiewicz Inequality.

Xiao Li, Andre Milzarek, Junwen Qiu

SIAM J. Optim., June, 2023

Distributed Random Reshuffling Over Networks.

Kun Huang, Xiao Li, Andre Milzarek, Shi Pu, Junwen Qiu

IEEE Trans. Signal Process., 2023

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

Xiao Li, Andre Milzarek, Junwen Qiu

CoRR, 2023

Obtaining Pseudo-inverse Solutions With MINRES.

Yang Liu, Andre Milzarek, Fred Roosta

CoRR, 2023

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

Andre Milzarek, Junwen Qiu

CoRR, 2023

2022

On the geometric analysis of a quartic-quadratic optimization problem under a spherical constraint.

Haixiang Zhang, Andre Milzarek, Zaiwen Wen, Wotao Yin

Math. Program., 2022

A stochastic extra-step quasi-Newton method for nonsmooth nonconvex optimization.

Minghan Yang, Andre Milzarek, Zaiwen Wen, Tong Zhang

Math. Program., 2022

A Unified Convergence Theorem for Stochastic Optimization Methods.

Xiao Li, Andre Milzarek

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Nonmonotone Globalization for Anderson Acceleration Using Adaptive Regularization.

Wenqing Ouyang, Jiong Tao, Andre Milzarek, Bailin Deng

CoRR, 2020

2019

A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization.

Andre Milzarek, Xiantao Xiao, Shicong Cen, Zaiwen Wen, Michael Ulbrich

SIAM J. Optim., 2019

2018

Adaptive Quadratically Regularized Newton Method for Riemannian Optimization.

Jiang Hu, Andre Milzarek, Zaiwen Wen, Yaxiang Yuan

SIAM J. Matrix Anal. Appl., 2018

2014

A Semismooth Newton Method with Multidimensional Filter Globalization for l₁-Optimization.

Andre Milzarek, Michael Ulbrich

SIAM J. Optim., 2014

2013

Adaptive Regularized Self-Consistent Field Iteration with Exact Hessian for Electronic Structure Calculation.

Zaiwen Wen, Andre Milzarek, Michael Ulbrich, Hongchao Zhang

SIAM J. Sci. Comput., 2013