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2020 – today
- 2024
[j5]Yuetian Luo, Wen Huang
, Xudong Li, Anru Zhang:
Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-Order Convergence. Oper. Res. 72(1): 237-256 (2024)- [j4]Yuetian Luo, Xudong Li, Anru R. Zhang:
On Geometric Connections of Embedded and Quotient Geometries in Riemannian Fixed-Rank Matrix Optimization. Math. Oper. Res. 49(2): 782-825 (2024) - [i14]Yuetian Luo, Rina Foygel Barber:
The Limits of Assumption-free Tests for Algorithm Performance. CoRR abs/2402.07388 (2024) - [i13]Yuetian Luo, Rina Foygel Barber:
Is Algorithmic Stability Testable? A Unified Framework under Computational Constraints. CoRR abs/2405.15107 (2024) - 2023
- [j3]Yuetian Luo, Anru R. Zhang:
Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence. J. Mach. Learn. Res. 24: 381:1-381:48 (2023) - [c5]Ilias Diakonikolas, Daniel M. Kane, Yuetian Luo, Anru Zhang:
Statistical and Computational Limits for Tensor-on-Tensor Association Detection. COLT 2023: 5260-5310 - [c4]Yuetian Luo, Zhimei Ren, Rina Barber:
Iterative Approximate Cross-Validation. ICML 2023: 23083-23102 - [i12]Yuetian Luo, Chao Gao:
Computational Lower Bounds for Graphon Estimation via Low-degree Polynomials. CoRR abs/2308.15728 (2023) - 2022
- [c3]Yuetian Luo, Qin Ma, Chi Zhang, Anru R. Zhang:
Provable Second-Order Riemannian Gauss-Newton Method for Low-Rank Tensor Estimation ‖. ICASSP 2022: 9057-9061 - [i11]Yuetian Luo, Anru R. Zhang:
Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay. CoRR abs/2206.08756 (2022) - [i10]Yuetian Luo, Nicolás García Trillos:
Nonconvex Matrix Factorization is Geodesically Convex: Global Landscape Analysis for Fixed-rank Matrix Optimization From a Riemannian Perspective. CoRR abs/2209.15130 (2022) - 2021
- [j2]Yuetian Luo, Garvesh Raskutti, Ming Yuan, Anru R. Zhang:
A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration. J. Mach. Learn. Res. 22: 179:1-179:48 (2021) - [i9]Yuetian Luo, Anru R. Zhang:
Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence. CoRR abs/2104.12031 (2021) - [i8]Yuetian Luo, Xudong Li, Anru R. Zhang:
Nonconvex Factorization and Manifold Formulations are Almost Equivalent in Low-rank Matrix Optimization. CoRR abs/2108.01772 (2021) - [i7]Yuetian Luo, Xudong Li, Anru R. Zhang:
On Geometric Connections of Embedded and Quotient Geometries in Riemannian Fixed-rank Matrix Optimization. CoRR abs/2110.12121 (2021) - 2020
- [j1]Anru R. Zhang, Yuetian Luo, Garvesh Raskutti, Ming Yuan:
ISLET: Fast and Optimal Low-Rank Tensor Regression via Importance Sketching. SIAM J. Math. Data Sci. 2(2): 444-479 (2020) - [c2]Yuetian Luo, Anru R. Zhang:
Open Problem: Average-Case Hardness of Hypergraphic Planted Clique Detection. COLT 2020: 3852-3856 - [i6]Yuetian Luo, Anru Zhang:
Tensor Clustering with Planted Structures: Statistical Optimality and Computational Limits. CoRR abs/2005.10743 (2020) - [i5]Yuetian Luo, Anru R. Zhang:
A Schatten-q Matrix Perturbation Theory via Perturbation Projection Error Bound. CoRR abs/2008.01312 (2020) - [i4]Yuetian Luo, Garvesh Raskutti, Ming Yuan, Anru R. Zhang:
A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration. CoRR abs/2008.02437 (2020) - [i3]Yuetian Luo, Anru R. Zhang:
Open Problem: Average-Case Hardness of Hypergraphic Planted Clique Detection. CoRR abs/2009.05870 (2020) - [i2]Yuetian Luo, Wen Huang, Xudong Li, Anru R. Zhang:
Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-order Convergence. CoRR abs/2011.08360 (2020)
2010 – 2019
- 2019
- [i1]Anru Zhang, Yuetian Luo, Garvesh Raskutti, Ming Yuan:
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching. CoRR abs/1911.03804 (2019) - 2018
- [c1]Yuetian Luo, Zachary A. Pardos:
Diagnosing University Student Subject Proficiency and Predicting Degree Completion in Vector Space. AAAI 2018: 7920-7927
Coauthor Index
aka: Anru R. Zhang
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