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Luo Luo
Title
Cited by
Cited by
Year
Support matrix machines
L Luo, Y Xie, Z Zhang, WJ Li
International Conference on Machine Learning (ICML), 2015
1002015
Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems
L Luo, H Ye, Z Huang, T Zhang
Advances in Neural Information Processing Systems (NeurIPS), 2020
782020
Multi-Consensus Decentralized Accelerated Gradient Descent
H Ye, L Luo, Z Zhou, T Zhang
arXiv preprint:2005.00797, 2020
472020
SPSD matrix approximation vis column selection: theories, algorithms, and extensions
S Wang, L Luo, Z Zhang
Journal of Machine Learning Research (JMLR) 17 (1), 1697-1745, 2016
44*2016
Approximate Newton methods and their local convergence
H Ye, L Luo, Z Zhang
International Conference on Machine Learning (ICML), 2017
222017
Robust frequent directions with application in online learning
L Luo, C Chen, Z Zhang, WJ Li, T Zhang
Journal of Machine Learning Research (JMLR) 20 (45), 1-41, 2019
202019
Decentralized Accelerated Proximal Gradient Descent
H Ye, Z Zhou, L Luo, T Zhang
Advances in Neural Information Processing Systems (NeurIPS), 2020
182020
Frequent direction algorithms for approximate matrix multiplication with applications in CCA
Q Ye, L Luo, Z Zhang
International Joint Conference on Artificial Intelligence (IJCAI), 2016
172016
Lower Complexity Bounds for Finite-Sum Convex-Concave Minimax Optimization Problems
G Xie, L Luo, Y Lian, Z Zhang
International Conference on Machine Learning (ICML), 2020
152020
Quasi-Newton Hamiltonian Monte Carlo.
T Fu, L Luo, Z Zhang
Conference on Uncertainty in Artificial Intelligence (UAI), 2016
152016
Approximate Newton Methods
H Ye, L Luo, Z Zhang
Journal of Machine Learning Research (JMLR) 22 (66), 1-41, 2021
14*2021
Near Optimal Stochastic Algorithms for Finite-Sum Unbalanced Convex-Concave Minimax Optimization
L Luo, G Xie, T Zhang, Z Zhang
arXiv preprint arXiv:2106.01761, 2021
122021
Finding second-order stationary points in nonconvex-strongly-concave minimax optimization.
L Luo, Y Li, C Chen
Advances in Neural Information Processing Systems (NeurIPS), 2022
11*2022
Nesterov's Acceleration for Approximate Newton
H Ye, L Luo, Z Zhang
Journal of Machine Learning Research (JMLR) 21 (142), 1-37, 2020
102020
A Stochastic Proximal Point Algorithm for Saddle-Point Problems
L Luo, C Chen, Y Li, G Xie, Z Zhang
arXiv preprint arXiv:1909.06946, 2019
102019
Robust crowdsourced learning
Z Liu, L Luo, WJ Li
IEEE International Conference on Big Data, 2013
72013
Sketched follow-the-regularized-leader for online factorization machine
L Luo, W Zhang, Z Zhang, W Zhu, T Zhang, J Pei
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2018
62018
A proximal stochastic quasi-Newton algorithm
L Luo, Z Chen, Z Zhang, WJ Li
arXiv preprint arXiv:1602.00223, 2016
52016
Efficient Projection-Free Algorithms for Saddle Point Problems
C Chen, L Luo, W Zhang, Y Yu
Advances in Neural Information Processing Systems (NeurIPS), 2020
42020
Efficient and Robust High-Dimensional Linear Contextual Bandits
C Chen, L Luo, W Zhang, Y Yu, Y Lian
International Joint Conference on Artificial Intelligence (IJCAI), 2020
42020
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