Yuetian Luo - RankMe

27 papers A* 5Misc 1Journal 21

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Are all models wrong? Fundamental limits in distribution-free empirical model falsification. COLT Manuel M. Müller, Yuetian Luo, Rina Foygel Barber
2025	J	`jnl`	Are all models wrong? Fundamental limits in distribution-free empirical model falsification. CoRR Manuel M. Müller, Yuetian Luo, Rina Foygel Barber
2025	J	`jnl`	Nonconvex Factorization and Manifold Formulations Are Almost Equivalent in Low-Rank Matrix Optimization. INFORMS J. Optim. Yuetian Luo, Xudong Li, Anru R. Zhang
2024	J	`jnl`	Is Algorithmic Stability Testable? A Unified Framework under Computational Constraints. CoRR Yuetian Luo, Rina Foygel Barber
2024	J	`jnl`	On Geometric Connections of Embedded and Quotient Geometries in Riemannian Fixed-Rank Matrix Optimization. Math. Oper. Res. Yuetian Luo, Xudong Li, Anru R. Zhang
2024	J	`jnl`	Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-Order Convergence. Oper. Res. Yuetian Luo, Wen Huang, Xudong Li, Anru Zhang
2024	J	`jnl`	The Limits of Assumption-free Tests for Algorithm Performance. CoRR Yuetian Luo, Rina Foygel Barber
2023	J	`jnl`	Computational Lower Bounds for Graphon Estimation via Low-degree Polynomials. CoRR Yuetian Luo, Chao Gao
2023	A*	`conf`	Iterative Approximate Cross-Validation. ICML Yuetian Luo, Zhimei Ren, Rina Barber
2023	J	`jnl`	Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence. J. Mach. Learn. Res. Yuetian Luo, Anru R. Zhang
2023	A*	`conf`	Statistical and Computational Limits for Tensor-on-Tensor Association Detection. COLT Ilias Diakonikolas, Daniel M. Kane, Yuetian Luo, Anru Zhang
2022	J	`jnl`	Nonconvex Matrix Factorization is Geodesically Convex: Global Landscape Analysis for Fixed-rank Matrix Optimization From a Riemannian Perspective. CoRR Yuetian Luo, Nicolás García Trillos
2022	Misc	`conf`	Provable Second-Order Riemannian Gauss-Newton Method for Low-Rank Tensor Estimation ICASSP Yuetian Luo, Qin Ma, Chi Zhang, Anru R. Zhang
2022	J	`jnl`	Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay. CoRR Yuetian Luo, Anru R. Zhang
2021	J	`jnl`	A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration. J. Mach. Learn. Res. Yuetian Luo, Garvesh Raskutti, Ming Yuan, Anru R. Zhang
2021	J	`jnl`	Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence. CoRR Yuetian Luo, Anru R. Zhang
2021	J	`jnl`	Nonconvex Factorization and Manifold Formulations are Almost Equivalent in Low-rank Matrix Optimization. CoRR Yuetian Luo, Xudong Li, Anru R. Zhang
2021	J	`jnl`	On Geometric Connections of Embedded and Quotient Geometries in Riemannian Fixed-rank Matrix Optimization. CoRR Yuetian Luo, Xudong Li, Anru R. Zhang
2020	J	`jnl`	A Schatten-q Matrix Perturbation Theory via Perturbation Projection Error Bound. CoRR Yuetian Luo, Anru R. Zhang
2020	J	`jnl`	A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration. CoRR Yuetian Luo, Garvesh Raskutti, Ming Yuan, Anru R. Zhang
2020	J	`jnl`	ISLET: Fast and Optimal Low-Rank Tensor Regression via Importance Sketching. SIAM J. Math. Data Sci. Anru R. Zhang, Yuetian Luo, Garvesh Raskutti, Ming Yuan
2020	A*	`conf`	Open Problem: Average-Case Hardness of Hypergraphic Planted Clique Detection. COLT Yuetian Luo, Anru R. Zhang
2020	J	`jnl`	Open Problem: Average-Case Hardness of Hypergraphic Planted Clique Detection. CoRR Yuetian Luo, Anru R. Zhang
2020	J	`jnl`	Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-order Convergence. CoRR Yuetian Luo, Wen Huang, Xudong Li, Anru R. Zhang
2020	J	`jnl`	Tensor Clustering with Planted Structures: Statistical Optimality and Computational Limits. CoRR Yuetian Luo, Anru Zhang
2019	J	`jnl`	ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching. CoRR Anru Zhang, Yuetian Luo, Garvesh Raskutti, Ming Yuan
2018	A*	`conf`	Diagnosing University Student Subject Proficiency and Predicting Degree Completion in Vector Space. AAAI Yuetian Luo, Zachary A. Pardos