Preprints
- Yuetian Luo, Chao Gao, "Adaptive Robust Confidence Intervals", 2024.
- Yuetian Luo, Rina Foygel Barber, "Is Algorithmic Stability Testable? A Unified Framework under Computational Constraints", 2024.
- Yuetian Luo, Rina Foygel Barber, "The Limits of Assumption-free Tests for Algorithm Performance", 2024.
- Yuetian Luo, Nicolás García Trillos, "Nonconvex Matrix Factorization is Geodesically Convex: Global Landscape Analysis for Fixed-rank Matrix Optimization From a Riemannian Perspective ", 2022.
Publications
- Yuetian Luo, Chao Gao, "Computational Lower Bounds for Graphon Estimation via Low-degree Polynomials", Annals of Statistics, to appear.
- Yuetian Luo, Xudong Li, Anru Zhang, "Nonconvex Factorization and Manifold Formulations are Almost Equivalent in Low-rank Matrix Optimization ", INFORMS Journal on Optimization, to appear.
- Yuetian Luo, Anru Zhang, "Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay ", Annals of Statistics, 2024. [Code]
- Yuetian Luo, Zhimei Ren, Rina Foygel Barber, "Iterative Approximate Cross-Validation", International Conference on Machine Learning (ICML), 2023. [Code]
- Ilias Diakonicolas, Daniel Kane, Yuetian Luo, Anru Zhang "Statistical and Computational Limits for Tensor-on-Tensor Association Detection ", Conference of Learning Theory (COLT), 2023.
- Yuetian Luo, Anru Zhang, "Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence ", Journal of Machine Learning Research, 2023. [Code]
- Yuetian Luo, Xudong Li, Anru Zhang, "On Geometric Connections of Embedded and Quotient Geometries in Riemannian Fixed-rank Matrix Optimization", Mathematics of Operations Research, 2023.
- Yuetian Luo, Wen Huang, Xudong Li, Anru Zhang, "Recursive Importance Sketching for Rank Constrained Least Squares", Operations Research, 2023. [Code]
- Rungang Han, Yuetian Luo, Miaoyan Wang, Anru Zhang, "Exact clustering in tensor block model: Statistical optimality and computational limit", Journal of the Royal Statistical Society, Series B, 2022. [R Package]
(This paper received the Best Student's Paper Award from the Statistical Learning and Data Science Section of the American Statistical Association, 2021 JSM) - Yuetian Luo, Anru Zhang, "Tensor Clustering with Planted Structures: Statistical Optimality and Computational Limits ", Annals of Statistics, 2021.
- Yuetian Luo, Rungang Han, Anru Zhang, "A Schatten-q matrix perturbation theory via Perturbation Projection Error Bound ", Linear Algebra and its Applications, 2021.
- Yuetian Luo, Garvesh Raskutti, Ming Yuan, Anru Zhang, "A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration", Journal of Machine Learning Research, 2021.
- Anru Zhang, Yuetian Luo, Garvesh Raskutti, Ming Yuan, " ISLET: fast and optimal low-rank tensor regression via importance sketchings ", SIAM Journal on Mathematics of Data Science, 2020.
- Yuetian Luo, Anru Zhang, " Open problem: Average-case hardness of hypergraphic planted clique detection ",Conference of Learning Theory (COLT), 2020.
- Yang Li, Yuetian Luo, Davide Ferrari, Xiaonan Hu, Yichen Qin. " Model confidence bounds for variable selection " Biometrics, 2019 (with discussion).
- Yang Li, Yuetian Luo, Davide Ferrari, Xiaonan Hu, Yichen Qin, " "Rejoinder to Discussions on: Model confidence bounds for variable selection. ", Biometrics, 2019.
- Yuetian Luo, Zachary A Pardos, "Diagnosing university student subject proficiency and predicting degree completion in vector space ", In Thirty-Second AAAI Conference on Artificial Intelligence, 2018.