{"total":53,"rows":[{"id":"2104.14526","title":"Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements","created":"2021-04-29","cited_by_count":28,"area":null},{"id":"2108.12163","title":"Provable Tensor-Train Format Tensor Completion by Riemannian Optimization","created":"2021-08-27","cited_by_count":17,"area":null},{"id":"2206.08756","title":"Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay","created":"2022-06-17","cited_by_count":15,"area":null},{"id":"2104.12031","title":"Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence","created":"2021-04-24","cited_by_count":13,"area":null},{"id":"2106.16042","title":"Latent Space Model for Higher-order Networks and Generalized Tensor Decomposition","created":"2021-06-30","cited_by_count":13,"area":null},{"id":"2401.12007","title":"Tensor-view Topological Graph Neural Network","created":"2024-01-22","cited_by_count":12,"area":null},{"id":"2401.03820","title":"Optimal Differentially Private PCA and Estimation for Spiked Covariance Matrices","created":"2024-01-08","cited_by_count":11,"area":null},{"id":"2107.09660","title":"On Estimating Rank-One Spiked Tensors in the Presence of Heavy Tailed Errors","created":"2021-07-20","cited_by_count":10,"area":null},{"id":"2110.10210","title":"Long Random Matrices and Tensor Unfolding","created":"2021-10-19","cited_by_count":10,"area":null},{"id":"2212.08642","title":"Estimating Higher-Order Mixed Memberships via the $\\ell_{2,\\infty}$ Tensor Perturbation Bound","created":"2022-12-16","cited_by_count":8,"area":null},{"id":"2105.01136","title":"Learning Good State and Action Representations via Tensor Decomposition","created":"2021-05-03","cited_by_count":7,"area":null},{"id":"2108.04428","title":"Tensor Principal Component Analysis in High Dimensional CP Models","created":"2021-08-10","cited_by_count":7,"area":null},{"id":"2303.06198","title":"Deflated HeteroPCA: Overcoming the curse of ill-conditioning in heteroskedastic PCA","created":"2023-03-10","cited_by_count":7,"area":null},{"id":"2401.11940","title":"Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent","created":"2024-01-22","cited_by_count":7,"area":null},{"id":"2201.09040","title":"Optimal Estimation and Computational Limit of Low-rank Gaussian Mixtures","created":"2022-01-22","cited_by_count":6,"area":null},{"id":"2308.15728","title":"Computational Lower Bounds for Graphon Estimation via Low-degree Polynomials","created":"2023-08-30","cited_by_count":6,"area":null},{"id":"2310.06159","title":"Provably Accelerating Ill-Conditioned Low-rank Estimation via Scaled Gradient Descent, Even with Overparameterization","created":"2023-10-09","cited_by_count":6,"area":null},{"id":"2405.19230","title":"Valid Conformal Prediction for Dynamic GNNs","created":"2024-05-29","cited_by_count":6,"area":null},{"id":"2411.17054","title":"Optimal Estimation of Shared Singular Subspaces across Multiple Noisy Matrices","created":"2024-11-26","cited_by_count":6,"area":null},{"id":"2112.15423","title":"Modelling matrix time series via a tensor CP-decomposition","created":"2021-12-31","cited_by_count":5,"area":null},{"id":"2207.04600","title":"Optimal Clustering by Lloyd Algorithm for Low-Rank Mixture Model","created":"2022-07-11","cited_by_count":5,"area":null},{"id":"2102.00384","title":"Beyond the Signs: Nonparametric Tensor Completion via Sign Series","created":"2021-01-31","cited_by_count":4,"area":null},{"id":"2201.07401","title":"Multiway Spherical Clustering via Degree-Corrected Tensor Block Models","created":"2022-01-19","cited_by_count":4,"area":null},{"id":"2406.06002","title":"Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition","created":"2024-06-10","cited_by_count":4,"area":null},{"id":"2209.13762","title":"Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block Model","created":"2022-09-28","cited_by_count":3,"area":null},{"id":"2402.03169","title":"A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation","created":"2024-02-05","cited_by_count":3,"area":null},{"id":"2410.15241","title":"Conditional Uncertainty Quantification for Tensorized Topological Neural Networks","created":"2024-10-20","cited_by_count":3,"area":null},{"id":"2410.15247","title":"Tensor-Fused Multi-View Graph Contrastive Learning","created":"2024-10-20","cited_by_count":3,"area":null},{"id":"2111.04681","title":"Statistical and Computational Efficiency for Smooth Tensor Estimation with Unknown Permutations","created":"2021-11-08","cited_by_count":2,"area":null},{"id":"2309.09555","title":"Multi-dimensional domain generalization with low-rank structures","created":"2023-09-18","cited_by_count":2,"area":null},{"id":"2401.01047","title":"Sharp Analysis of Power Iteration for Tensor PCA","created":"2024-01-02","cited_by_count":2,"area":null},{"id":"2410.15224","title":"Robust Low-rank Tensor Train Recovery","created":"2024-10-19","cited_by_count":2,"area":null},{"id":"2604.00481","title":"Tucker Diffusion Model for High-dimensional Tensor Generation","created":"2026-04-01","cited_by_count":2,"area":"diffusion"},{"id":"2104.07773","title":"Jointly Modeling and Clustering Tensors in High Dimensions","created":"2021-04-15","cited_by_count":1,"area":null},{"id":"2202.04719","title":"Multivariate Analysis for Multiple Network Data via Semi-Symmetric Tensor PCA","created":"2022-02-09","cited_by_count":1,"area":null},{"id":"2307.00575","title":"Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model","created":"2023-07-02","cited_by_count":1,"area":null},{"id":"2402.10242","title":"Signed Diverse Multiplex Networks: Clustering and Inference","created":"2024-02-14","cited_by_count":1,"area":null},{"id":"2405.18412","title":"Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges","created":"2024-05-28","cited_by_count":1,"area":null},{"id":"2107.11886","title":"Logspace Reducibility From Secret Leakage Planted Clique","created":"2021-07-25","cited_by_count":0,"area":null},{"id":"2112.12306","title":"Selective Multiple Power Iteration: from Tensor PCA to gradient-based exploration of landscapes","created":"2021-12-23","cited_by_count":0,"area":null},{"id":"2304.04043","title":"Statistical and computational rates in high rank tensor estimation","created":"2023-04-08","cited_by_count":0,"area":null},{"id":"2402.02459","title":"On Minimum Trace Factor Analysis -- An Old Song Sung to a New Tune","created":"2024-02-04","cited_by_count":0,"area":null},{"id":"2505.06203","title":"A Robust and Non-Iterative Tensor Decomposition Method with Automatic Thresholding","created":"2025-05-09","cited_by_count":0,"area":null},{"id":"2506.02825","title":"Asymptotically perfect seeded graph matching without edge correlation (and applications to inference)","created":"2025-06-03","cited_by_count":0,"area":null},{"id":"2507.19423","title":"Perfect Clustering in Very Sparse Diverse Multiplex Networks","created":"2025-07-25","cited_by_count":0,"area":null},{"id":"2508.06693","title":"A Tight Lower Bound for the Approximation Guarantee of Higher-Order Singular Value Decomposition","created":"2025-08-08","cited_by_count":0,"area":null},{"id":"2509.17382","title":"Optimal Bias-variance Tradeoff in Matrix and Tensor Estimation","created":"2025-09-22","cited_by_count":0,"area":null},{"id":"2605.19122","title":"Dual-Channel Tensor Neural Networks: Finite-Sample Theory and Conformal Structure Selection","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2606.10085","title":"Structured Adaptive Tensor Prediction for Streaming Data","created":"2026-06-08","cited_by_count":0,"area":null},{"id":"2606.30958","title":"Exponential-Family Tensor Completion via Nonconvex Dual Total-Variation Regularization","created":"2026-06-29","cited_by_count":0,"area":null},{"id":"2607.25967","title":"Quasi-SVD: Learning a Lie-constrained matrix factorisation for real-time imaging","created":"2026-07-28","cited_by_count":0,"area":null},{"id":"2609.24501","title":"Tensor Completion using Subspace Information","created":"2026-09-21","cited_by_count":0,"area":null},{"id":"2610.20416","title":"Tracking a Small Set of Experts in Online Convex Optimization","created":"2026-10-14","cited_by_count":0,"area":null}],"next_cursor":null}