A MINRES-based Linesearch Algorithm for Nonconvex Optimization with Non-positive Curvature Detection
Published in Arxiv preprint, 2026
Authors: Hanfeng Zeng, Yang Liu, Wenqing Ouyang, Andre Milzarek
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Publications
Local Convergence of Adaptively Regularzied Tensor Methods
Published in Arxiv preprint, 2025
Authors: Karl Welzel, Yang Liu*, Raphael A. Hauser, Coralia Cartis
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Obtaining Pseudoinverse Solutions With MINRES
Published in SIAM Journal on Matrix Analysis and Applications, 2025, 2025
Authors: Yang Liu*, Andre Milzarek, Fred Roosta
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Efficient Implementation of Third-Order Tensor Methods with Adaptive Regularization for Unconstrained Optimization
Published in Arxiv preprint, 2025
Authors: Coralia Cartis, Raphael Hauser, Yang Liu*, Karl Welzel, Wenqi Zhu
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Conjugate Direction Methods Under Inconsistent Systems
Published in Arxiv preprint, 2024
Authors: Alexander Lim, Yang Liu, Fred Roosta
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Descent Properties of an Anderson Accelerated Gradient Method with Restarting
Published in SIAM Journal on Optimization, 2024
Authors: Wenqing Ouyang, Yang Liu, and Andre Milzarek
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A Newton-MR algorithm with complexity guarantees for nonconvex smooth unconstrained optimization
Published in Arxiv preprint, 2023
Authors: Yang Liu*, Fred Roosta
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Newton-MR: Inexact Newton Method with minimum residual sub-problem solver
Published in EURO Journal on Computational Optimization, 2022
Authors: Fred Roosta, Yang Liu, Peng Xu, Michael W. Mahoney
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MINRES: From Negative Curvature Detection to Monotonicity Properties
Published in SIAM Journal on Optimization, 2022
Authors: Yang Liu, Fred Roosta
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Convergence of Newton-MR under Inexact Hessian Information
Published in SIAM Journal on Optimization, 2021
Authors: Yang Liu, Fred Roosta
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