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Disambiguation of "Luo, Yuetian"

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A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration.

, , , and . J. Mach. Learn. Res., (2021)

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Jia Luo

Xiaoguang Luo

Yongxiang Luo

Junfeng Luo

Liangping Luo

 

Other publications of authors with the same name

Nonconvex Matrix Factorization is Geodesically Convex: Global Landscape Analysis for Fixed-rank Matrix Optimization From a Riemannian Perspective., and . CoRR, (2022)Iterative Approximate Cross-Validation., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 23083-23102. PMLR, (2023)Statistical and Computational Limits for Tensor-on-Tensor Association Detection., , , and . COLT, volume 195 of Proceedings of Machine Learning Research, page 5260-5310. PMLR, (2023)Is Algorithmic Stability Testable? A Unified Framework under Computational Constraints., and . CoRR, (2024)Open Problem: Average-Case Hardness of Hypergraphic Planted Clique Detection., and . COLT, volume 125 of Proceedings of Machine Learning Research, page 3852-3856. PMLR, (2020)Diagnosing University Student Subject Proficiency and Predicting Degree Completion in Vector Space., and . AAAI, page 7920-7927. AAAI Press, (2018)Provable Second-Order Riemannian Gauss-Newton Method for Low-Rank Tensor Estimation ‖., , , and . ICASSP, page 9057-9061. IEEE, (2022)A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration., , , and . J. Mach. Learn. Res., (2021)Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-order Convergence., , , and . CoRR, (2020)Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence., and . J. Mach. Learn. Res., (2023)