Yuetian Luo

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 23

Top Topics

Constrained Least Squares

Perturbation Theory

Top Venues

SIAM J. Math. Data Sci.

Publications

Yuetian Luo, Rina Foygel Barber
The Limits of Assumption-free Tests for Algorithm Performance. CoRR (2024)
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) (2024)
Yuetian Luo, Rina Foygel Barber
Is Algorithmic Stability Testable? A Unified Framework under Computational Constraints. CoRR (2024)
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) (2024)
Yuetian Luo, Chao Gao
Computational Lower Bounds for Graphon Estimation via Low-degree Polynomials. CoRR (2023)
Yuetian Luo, Zhimei Ren, Rina Barber
Iterative Approximate Cross-Validation. ICML (2023)
Ilias Diakonikolas, Daniel M. Kane, Yuetian Luo, Anru Zhang
Statistical and Computational Limits for Tensor-on-Tensor Association Detection. COLT (2023)
Yuetian Luo, Anru R. Zhang
Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay. CoRR (2022)
Yuetian Luo, Qin Ma, Chi Zhang, Anru R. Zhang
. ICASSP (2022)
Yuetian Luo, Nicolás Garcia Trillos
Nonconvex Matrix Factorization is Geodesically Convex: Global Landscape Analysis for Fixed-rank Matrix Optimization From a Riemannian Perspective. CoRR (2022)
Yuetian Luo, Xudong Li, Anru R. Zhang
On Geometric Connections of Embedded and Quotient Geometries in Riemannian Fixed-rank Matrix Optimization. CoRR (2021)
Yuetian Luo, Xudong Li, Anru R. Zhang
Nonconvex Factorization and Manifold Formulations are Almost Equivalent in Low-rank Matrix Optimization. CoRR (2021)
Yuetian Luo, Anru R. Zhang
Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence. CoRR (2021)
Yuetian Luo, Garvesh Raskutti, Ming Yuan, Anru R. Zhang
A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration. J. Mach. Learn. Res. 22 (2021)
Yuetian Luo, Anru R. Zhang
A Schatten-q Matrix Perturbation Theory via Perturbation Projection Error Bound. CoRR (2020)
Yuetian Luo, Wen Huang, Xudong Li, Anru R. Zhang
Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-order Convergence. CoRR (2020)
Yuetian Luo, Anru R. Zhang
Open Problem: Average-Case Hardness of Hypergraphic Planted Clique Detection. COLT (2020)
Yuetian Luo, Anru Zhang
Tensor Clustering with Planted Structures: Statistical Optimality and Computational Limits. CoRR (2020)
Yuetian Luo, Garvesh Raskutti, Ming Yuan, Anru R. Zhang
A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration. CoRR (2020)
Yuetian Luo, Anru R. Zhang
Open Problem: Average-Case Hardness of Hypergraphic Planted Clique Detection. CoRR (2020)
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) (2020)
Anru Zhang, Yuetian Luo, Garvesh Raskutti, Ming Yuan
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching. CoRR (2019)
Yuetian Luo, Zachary A. Pardos
Diagnosing University Student Subject Proficiency and Predicting Degree Completion in Vector Space. AAAI (2018)