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2020 – today
- 2024
[j13]Chenyu Zhang, Rufeng Xiao, Wen Huang, Rujun Jiang
:
Riemannian Trust Region Methods for $\hbox {SC}^1$ Minimization. J. Sci. Comput. 101(2): 32 (2024)- [j12]Wutao Si, Pierre-Antoine Absil, Wen Huang, Rujun Jiang, Simon Vary:
A Riemannian Proximal Newton Method. SIAM J. Optim. 34(1): 654-681 (2024) - [c9]He Chen, Haochen Xu, Rujun Jiang, Anthony Man-Cho So:
Lower-level Duality Based Reformulation and Majorization Minimization Algorithm for Hyperparameter Optimization. AISTATS 2024: 784-792 - [c8]Jiulin Wang, Xu Shi, Rujun Jiang:
Near-Optimal Convex Simple Bilevel Optimization with a Bisection Method. AISTATS 2024: 2008-2016 - [c7]Quanzhou Xiang, Zhan Chen, Qi Sun, Rujun Jiang:
RSAP-DFM: Regime-Shifting Adaptive Posterior Dynamic Factor Model for Stock Returns Prediction. IJCAI 2024: 6116-6124 - [i2]Yuze Ge, Rujun Jiang:
SOREL: A Stochastic Algorithm for Spectral Risks Minimization. CoRR abs/2407.14618 (2024) - 2023
- [j11]Rujun Jiang, Duan Li:
Exactness Conditions for Semidefinite Programming Relaxations of Generalization of the Extended Trust Region Subproblem. Math. Oper. Res. 48(3): 1235-1253 (2023) - [c6]Rufeng Xiao, Yuze Ge, Rujun Jiang, Yifan Yan:
A Unified Framework for Rank-based Loss Minimization. NeurIPS 2023 - 2022
- [j10]Rujun Jiang, Xudong Li:
Hölderian Error Bounds and Kurdyka-Łojasiewicz Inequality for the Trust Region Subproblem. Math. Oper. Res. 47(4): 3025-3050 (2022) - [c5]Jiali Wang, Wen Huang, Rujun Jiang, Xudong Li, Alex L. Wang:
Solving Stackelberg Prediction Game with Least Squares Loss via Spherically Constrained Least Squares Reformulation. ICML 2022: 22665-22679 - [i1]Bojun Lu, Duan Li, Rujun Jiang:
Tackling A Class of Hard Subset-Sum Problems: Integration of Lattice Attacks with Disaggregation Techniques. CoRR abs/2202.09157 (2022) - 2021
- [j9]Rujun Jiang, Man-Chung Yue, Zhishuo Zhou:
An accelerated first-order method with complexity analysis for solving cubic regularization subproblems. Comput. Optim. Appl. 79(2): 471-506 (2021) - [j8]Hezhi Luo, Xiaodong Ding, Jiming Peng, Rujun Jiang, Duan Li:
Complexity Results and Effective Algorithms for Worst-Case Linear Optimization Under Uncertainties. INFORMS J. Comput. 33(1): 180-197 (2021) - [c4]Jiali Wang, He Chen, Rujun Jiang, Xudong Li, Zihao Li:
Fast Algorithms for Stackelberg Prediction Game with Least Squares Loss. ICML 2021: 10708-10716 - 2020
- [j7]Rujun Jiang, Duan Li:
A Linear-Time Algorithm for Generalized Trust Region Subproblems. SIAM J. Optim. 30(1): 915-932 (2020)
2010 – 2019
- 2019
- [j6]Baiyi Wu, Duan Li, Rujun Jiang:
Quadratic convex reformulation for quadratic programming with linear on-off constraints. Eur. J. Oper. Res. 274(3): 824-836 (2019) - [j5]Rujun Jiang, Duan Li:
Second order cone constrained convex relaxations for nonconvex quadratically constrained quadratic programming. J. Glob. Optim. 75(2): 461-494 (2019) - [j4]Rujun Jiang, Duan Li:
Novel Reformulations and Efficient Algorithms for the Generalized Trust Region Subproblem. SIAM J. Optim. 29(2): 1603-1633 (2019) - [c3]Rujun Jiang, Duan Li:
On Conic Relaxations of Generalization of the Extended Trust Region Subproblem. WCGO 2019: 145-154 - [c2]Rujun Jiang, Duan Li:
Semidefinite Programming Based Convex Relaxation for Nonconvex Quadratically Constrained Quadratic Programming. WCGO 2019: 213-220 - 2018
- [j3]Xueting Cui, Xiaoling Sun, Shushang Zhu, Rujun Jiang, Duan Li:
Portfolio Optimization with Nonparametric Value at Risk: A Block Coordinate Descent Method. INFORMS J. Comput. 30(3): 454-471 (2018) - [j2]Rujun Jiang, Duan Li, Baiyi Wu:
SOCP reformulation for the generalized trust region subproblem via a canonical form of two symmetric matrices. Math. Program. 169(2): 531-563 (2018) - [c1]Rujun Jiang, Huikang Liu, Anthony Man-Cho So:
LPA-SD: An Efficient First-Order Method for Single-Group Multicast Beamforming. SPAWC 2018: 1-5 - 2016
- [j1]Rujun Jiang, Duan Li:
Simultaneous Diagonalization of Matrices and Its Applications in Quadratically Constrained Quadratic Programming. SIAM J. Optim. 26(3): 1649-1668 (2016)
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