Yuetian Luo

According to our database, Yuetian Luo authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

On Geometric Connections of Embedded and Quotient Geometries in Riemannian Fixed-Rank Matrix Optimization.

Yuetian Luo, Xudong Li, Anru R. Zhang

Math. Oper. Res., 2024

Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-Order Convergence.

Yuetian Luo, Wen Huang, Xudong Li, Anru Zhang

Oper. Res., 2024

Is Algorithmic Stability Testable? A Unified Framework under Computational Constraints.

Yuetian Luo, Rina Foygel Barber

CoRR, 2024

The Limits of Assumption-free Tests for Algorithm Performance.

Yuetian Luo, Rina Foygel Barber

CoRR, 2024

2023

Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence.

Yuetian Luo, Anru R. Zhang

J. Mach. Learn. Res., 2023

Computational Lower Bounds for Graphon Estimation via Low-degree Polynomials.

Yuetian Luo, Chao Gao

CoRR, 2023

Iterative Approximate Cross-Validation.

Yuetian Luo, Zhimei Ren, Rina Barber

Proceedings of the International Conference on Machine Learning, 2023

Statistical and Computational Limits for Tensor-on-Tensor Association Detection.

Ilias Diakonikolas, Daniel M. Kane, Yuetian Luo, Anru Zhang

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

Nonconvex Matrix Factorization is Geodesically Convex: Global Landscape Analysis for Fixed-rank Matrix Optimization From a Riemannian Perspective.

Yuetian Luo, Nicolás García Trillos

CoRR, 2022

Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay.

Yuetian Luo, Anru R. Zhang

CoRR, 2022

Provable Second-Order Riemannian Gauss-Newton Method for Low-Rank Tensor Estimation ^‖.

Yuetian Luo, Qin Ma, Chi Zhang, Anru R. Zhang

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration.

Yuetian Luo, Garvesh Raskutti, Ming Yuan, Anru R. Zhang

J. Mach. Learn. Res., 2021

Nonconvex Factorization and Manifold Formulations are Almost Equivalent in Low-rank Matrix Optimization.

Yuetian Luo, Xudong Li, Anru R. Zhang

CoRR, 2021

2020

ISLET: Fast and Optimal Low-Rank Tensor Regression via Importance Sketching.

Anru R. Zhang, Yuetian Luo, Garvesh Raskutti, Ming Yuan

SIAM J. Math. Data Sci., 2020

A Schatten-q Matrix Perturbation Theory via Perturbation Projection Error Bound.

Yuetian Luo, Anru R. Zhang

CoRR, 2020

Tensor Clustering with Planted Structures: Statistical Optimality and Computational Limits.

Yuetian Luo, Anru Zhang

CoRR, 2020

Open Problem: Average-Case Hardness of Hypergraphic Planted Clique Detection.

Yuetian Luo, Anru R. Zhang

Proceedings of the Conference on Learning Theory, 2020

2018

Diagnosing University Student Subject Proficiency and Predicting Degree Completion in Vector Space.

Yuetian Luo, Zachary A. Pardos

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018