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Andre Milzarek
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2020 – today
- 2024
- [j11]Wenqing Ouyang, Yang Liu
, Andre Milzarek
Descent Properties of an Anderson Accelerated Gradient Method with Restarting. SIAM J. Optim. 34(1): 336-365 (2024) - [j10]Andre Milzarek
A Semismooth Newton Stochastic Proximal Point Algorithm with Variance Reduction. SIAM J. Optim. 34(1): 1157-1185 (2024) - [i10]Junwen Qiu, Bohao Ma, Andre Milzarek:
Convergence of SGD with momentum in the nonconvex case: A novel time window-based analysis. CoRR abs/2405.16954 (2024) - [i9]Junwen Qiu, Bohao Ma, Xiao Li, Andre Milzarek:
A KL-based Analysis Framework with Applications to Non-Descent Optimization Methods. CoRR abs/2406.02273 (2024) - [i8]Li Jiang, Xiao Li, Andre Milzarek, Junwen Qiu:
A Generalized Version of Chung's Lemma and its Applications. CoRR abs/2406.05637 (2024) - 2023
- [j9]Wenqing Ouyang, Jiong Tao, Andre Milzarek, Bailin Deng
Nonmonotone Globalization for Anderson Acceleration via Adaptive Regularization. J. Sci. Comput. 96(1): 5 (2023) - [j8]Xiao Li, Andre Milzarek
Convergence of Random Reshuffling under the Kurdyka-Łojasiewicz Inequality. SIAM J. Optim. 33(2): 1092-1120 (2023) - [j7]Kun Huang
Distributed Random Reshuffling Over Networks. IEEE Trans. Signal Process. 71: 1143-1158 (2023) - [i7]Andre Milzarek, Junwen Qiu:
Convergence of a Normal Map-based Prox-SGD Method under the KL Inequality. CoRR abs/2305.05828 (2023) - [i6]Yang Liu, Andre Milzarek, Fred Roosta:
Obtaining Pseudo-inverse Solutions With MINRES. CoRR abs/2309.17096 (2023) - [i5]Xiao Li, Andre Milzarek, Junwen Qiu:
A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization. CoRR abs/2312.01047 (2023) - 2022
- [j6]Minghan Yang, Andre Milzarek
A stochastic extra-step quasi-Newton method for nonsmooth nonconvex optimization. Math. Program. 194(1): 257-303 (2022) - [j5]Haixiang Zhang, Andre Milzarek, Zaiwen Wen
On the geometric analysis of a quartic-quadratic optimization problem under a spherical constraint. Math. Program. 195(1): 421-473 (2022) - [c1]Xiao Li, Andre Milzarek:
A Unified Convergence Theorem for Stochastic Optimization Methods. NeurIPS 2022 - [i4]Xiao Li, Andre Milzarek:
A Unified Convergence Theorem for Stochastic Optimization Methods. CoRR abs/2206.03907 (2022) - 2021
- [i3]Xiao Li, Andre Milzarek, Junwen Qiu:
Convergence of Random Reshuffling Under The Kurdyka-Łojasiewicz Inequality. CoRR abs/2110.04926 (2021) - [i2]Kun Huang, Xiao Li, Andre Milzarek, Shi Pu, Junwen Qiu:
Distributed Random Reshuffling over Networks. CoRR abs/2112.15287 (2021) - 2020
- [i1]Wenqing Ouyang, Jiong Tao, Andre Milzarek, Bailin Deng:
Nonmonotone Globalization for Anderson Acceleration Using Adaptive Regularization. CoRR abs/2006.02559 (2020)
2010 – 2019
- 2019
- [j4]Andre Milzarek, Xiantao Xiao
A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization. SIAM J. Optim. 29(4): 2916-2948 (2019) - 2018
- [j3]Jiang Hu, Andre Milzarek, Zaiwen Wen, Yaxiang Yuan:
Adaptive Quadratically Regularized Newton Method for Riemannian Optimization. SIAM J. Matrix Anal. Appl. 39(3): 1181-1207 (2018) - 2014
- [j2]Andre Milzarek, Michael Ulbrich
A Semismooth Newton Method with Multidimensional Filter Globalization for l1-Optimization. SIAM J. Optim. 24(1): 298-333 (2014) - 2013
- [j1]Zaiwen Wen, Andre Milzarek, Michael Ulbrich
Adaptive Regularized Self-Consistent Field Iteration with Exact Hessian for Electronic Structure Calculation. SIAM J. Sci. Comput. 35(3) (2013)
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