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)

A Semismooth Newton Method with Multidimensional Filter Globalization for l1-Optimization. - Andre Milzarek; Michael Ulbrich (SIAM J. Optim., 2014)

Adaptive Quadratically Regularized Newton Method for Riemannian Optimization. - Jiang Hu; Andre Milzarek; Zaiwen Wen; Yaxiang Yuan (SIAM J. Matrix Anal. Appl., 2018)

A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization. - Andre Milzarek; Xiantao Xiao; Shicong Cen; Zaiwen Wen; Michael Ulbrich (SIAM J. Optim., 2019)

Nonmonotone Globalization for Anderson Acceleration Using Adaptive Regularization. - Wenqing Ouyang; Jiong Tao; Andre Milzarek; Bailin Deng (CoRR, 2020)

Distributed Random Reshuffling over Networks. - Kun Huang; Xiao Li; Andre Milzarek; Shi Pu; Junwen Qiu (CoRR, 2021)

A Unified Convergence Theorem for Stochastic Optimization Methods. - Xiao Li; Andre Milzarek (NeurIPS, 2022)

A stochastic extra-step quasi-Newton method for nonsmooth nonconvex optimization. - Minghan Yang; Andre Milzarek; Zaiwen Wen; Tong Zhang 001 (Math. Program., 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)

Convergence of a Normal Map-based Prox-SGD Method under the KL Inequality. - Andre Milzarek; Junwen Qiu (CoRR, 2023)

Obtaining Pseudo-inverse Solutions With MINRES. - Yang Liu 310; Andre Milzarek; Fred Roosta (CoRR, 2023)

A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization. - Xiao Li; Andre Milzarek; Junwen Qiu (CoRR, 2023)

Distributed Random Reshuffling Over Networks. - Kun Huang; Xiao Li 009; Andre Milzarek; Shi Pu 004; Junwen Qiu (IEEE Trans. Signal Process., 2023)

Convergence of Random Reshuffling under the Kurdyka-Łojasiewicz Inequality. - Xiao Li; Andre Milzarek; Junwen Qiu (SIAM J. Optim., 2023)

Nonmonotone Globalization for Anderson Acceleration via Adaptive Regularization. - Wenqing Ouyang; Jiong Tao; Andre Milzarek; Bailin Deng (J. Sci. Comput., 2023)

Convergence of SGD with momentum in the nonconvex case: A novel time window-based analysis. - Junwen Qiu; Bohao Ma; Andre Milzarek (CoRR, 2024)

A KL-based Analysis Framework with Applications to Non-Descent Optimization Methods. - Junwen Qiu; Bohao Ma; Xiao Li; Andre Milzarek (CoRR, 2024)

A Generalized Version of Chung's Lemma and its Applications. - Li Jiang; Xiao Li; Andre Milzarek; Junwen Qiu (CoRR, 2024)

A Semismooth Newton Stochastic Proximal Point Algorithm with Variance Reduction. - Andre Milzarek; Fabian Schaipp; Michael Ulbrich (SIAM J. Optim., 2024)

Descent Properties of an Anderson Accelerated Gradient Method with Restarting. - Wenqing Ouyang; Yang Liu 310; Andre Milzarek (SIAM J. Optim., 2024)

Obtaining Pseudoinverse Solutions with MINRES. - Yang Liu 310; Andre Milzarek; Fred Roosta (SIAM J. Matrix Anal. Appl., 2025)

A trust region-type normal map-based semismooth Newton method for nonsmooth nonconvex composite optimization. - Wenqing Ouyang; Andre Milzarek (Math. Program., 2025)