Diagnosing University Student Subject Proficiency and Predicting Degree Completion in Vector Space. - Yuetian Luo; Zachary A. Pardos (AAAI, 2018)

Open Problem: Average-Case Hardness of Hypergraphic Planted Clique Detection. - Yuetian Luo; Anru R. Zhang (COLT, 2020)

Tensor Clustering with Planted Structures: Statistical Optimality and Computational Limits. - Yuetian Luo; Anru Zhang (CoRR, 2020)

A Schatten-q Matrix Perturbation Theory via Perturbation Projection Error Bound. - Yuetian Luo; Anru R. Zhang (CoRR, 2020)

ISLET: Fast and Optimal Low-Rank Tensor Regression via Importance Sketching. - Anru R. Zhang; Yuetian Luo; Garvesh Raskutti; Ming Yuan 001 (SIAM J. Math. Data Sci., 2020)

A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration. - Yuetian Luo; Garvesh Raskutti; Ming Yuan 001; Anru R. Zhang (J. Mach. Learn. Res., 2021)

Provable Second-Order Riemannian Gauss-Newton Method for Low-Rank Tensor Estimation ‖. - Yuetian Luo; Qin Ma 003; Chi Zhang 021; Anru R. Zhang (ICASSP, 2022)

Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay. - Yuetian Luo; Anru R. Zhang (CoRR, 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)

Statistical and Computational Limits for Tensor-on-Tensor Association Detection. - Ilias Diakonikolas; Daniel M. Kane; Yuetian Luo; Anru Zhang (COLT, 2023)

Iterative Approximate Cross-Validation. - Yuetian Luo; Zhimei Ren; Rina Barber (ICML, 2023)

Computational Lower Bounds for Graphon Estimation via Low-degree Polynomials. - Yuetian Luo; Chao Gao (CoRR, 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)

The Limits of Assumption-free Tests for Algorithm Performance. - Yuetian Luo; Rina Foygel Barber (CoRR, 2024)

Is Algorithmic Stability Testable? A Unified Framework under Computational Constraints. - Yuetian Luo; Rina Foygel Barber (CoRR, 2024)

Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-Order Convergence. - Yuetian Luo; Wen Huang 001; Xudong Li 004; Anru Zhang (Oper. Res., 2024)

On Geometric Connections of Embedded and Quotient Geometries in Riemannian Fixed-Rank Matrix Optimization. - Yuetian Luo; Xudong Li 004; Anru R. Zhang (Math. Oper. Res., 2024)

Are all models wrong? Fundamental limits in distribution-free empirical model falsification. - Manuel M. Müller; Yuetian Luo; Rina Foygel Barber (COLT, 2025)

Nonconvex Factorization and Manifold Formulations Are Almost Equivalent in Low-Rank Matrix Optimization. - Yuetian Luo; Xudong Li 004; Anru R. Zhang (INFORMS J. Optim., 2025)