| A Semismooth Newton Method with Multidimensional Filter Globalization for -Optimization A Milzarek, M Ulbrich SIAM Journal on Optimization 24 (1), 298-333, 2014 | 96 | 2014 |
| Adaptive quadratically regularized Newton method for Riemannian optimization J Hu, A Milzarek, Z Wen, Y Yuan SIAM Journal on Matrix Analysis and Applications 39 (3), 1181-1207, 2018 | 74 | 2018 |
| Convergence of Random Reshuffling under the Kurdyka–Łojasiewicz Inequality X Li, A Milzarek, J Qiu SIAM Journal on Optimization 33 (2), 1092-1120, 2023 | 64 | 2023 |
| A stochastic semismooth Newton method for nonsmooth nonconvex optimization A Milzarek, X Xiao, S Cen, Z Wen, M Ulbrich SIAM Journal on Optimization 29 (4), 2916-2948, 2019 | 48 | 2019 |
| A stochastic extra-step quasi-newton method for nonsmooth nonconvex optimization M Yang, A Milzarek, Z Wen, T Zhang Mathematical Programming 194 (1), 257-303, 2022 | 33 | 2022 |
| Numerical methods and second order theory for nonsmooth problems A Milzarek Technische Universität München, 2016 | 33 | 2016 |
| A unified convergence theorem for stochastic optimization methods X Li, A Milzarek Advances in Neural Information Processing Systems 35, 33107-33119, 2022 | 25 | 2022 |
| Adaptive regularized self-consistent field iteration with exact Hessian for electronic structure calculation Z Wen, A Milzarek, M Ulbrich, H Zhang SIAM Journal on Scientific Computing 35 (3), A1299-A1324, 2013 | 25 | 2013 |
| A trust region-type normal map-based semismooth Newton method for nonsmooth nonconvex composite optimization: W. Ouyang, A. Milzarek W Ouyang, A Milzarek Mathematical Programming 212 (1), 389-435, 2025 | 19 | 2025 |
| Distributed random reshuffling over networks K Huang, X Li, A Milzarek, S Pu, J Qiu IEEE Transactions on Signal Processing 71, 1143-1158, 2023 | 19 | 2023 |
| Nonmonotone globalization for Anderson acceleration via adaptive regularization W Ouyang, J Tao, A Milzarek, B Deng Journal of Scientific Computing 96 (1), 5, 2023 | 15* | 2023 |
| A semismooth Newton stochastic proximal point algorithm with variance reduction A Milzarek, F Schaipp, M Ulbrich SIAM Journal on Optimization 34 (1), 1157-1185, 2024 | 14 | 2024 |
| A Normal Map-Based Proximal Stochastic Gradient Method: Convergence and Identification Properties J Qiu, L Jiang, A Milzarek arXiv e-prints, arXiv: 2305.05828v2, 2025 | 13* | 2025 |
| On the geometric analysis of a quartic–quadratic optimization problem under a spherical constraint H Zhang, A Milzarek, Z Wen, W Yin Mathematical Programming 195 (1), 421-473, 2022 | 12 | 2022 |
| Descent Properties of an Anderson Accelerated Gradient Method with Restarting W Ouyang, Y Liu, A Milzarek SIAM Journal on Optimization 34 (1), 336-365, 2024 | 9 | 2024 |
| Convergence of SGD with momentum in the nonconvex case: A time window-based analysis J Qiu, B Ma, A Milzarek arXiv preprint arXiv:2405.16954, 2024 | 7* | 2024 |
| A trust-region method for nonsmooth nonconvex optimization Z Chen, A Milzarek, Z Wen Journal of Computational Mathematics 41 (4), 683-716, 2022 | 7 | 2022 |
| A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization J Qiu, X Li, A Milzarek arXiv preprint arXiv:2312.01047, 2023 | 6 | 2023 |
| Obtaining Pseudoinverse Solutions with MINRES Y Liu, A Milzarek, F Roosta SIAM Journal on Matrix Analysis and Applications 46 (3), 1887-1916, 2025 | 4 | 2025 |
| On the local convergence of a stochastic semismooth Newton method for nonsmooth nonconvex optimization A Milzarek, X Xiao, Z Wen, M Ulbrich Science China Mathematics 65 (10), 2151-2170, 2022 | 4 | 2022 |
Zaiwen WenPeking UniversityVerified email at pku.edu.cn
