matrix completion

On Low-rank Trace Regression under General Sampling Distribution JMLR 2022 Provable Tensor-Train Format Tensor Completion by Riemannian Optimization JMLR 2022 Regularized and Smooth Double Core Tensor Factorization for Heterogeneous Data JMLR 2022 Support Recovery in Sparse PCA with Incomplete Data NeurIPS 2022 Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent JMLR 2021 A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples ICML 2021 Beyond the Signs: Nonparametric Tensor Completion via Sign Series NeurIPS 2021 Consistent Nonparametric Methods for Network Assisted Covariate Estimation ICML 2021 Discrete-Valued Latent Preference Matrix Estimation with Graph Side Information ICML 2021 Double Low-Rank Representation With Projection Distance Penalty for Clustering CVPR 2021 Dropout: Explicit Forms and Capacity Control ICML 2021 Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem AAAI 2021 Local Search Algorithms for Rank-Constrained Convex Optimization ICLR 2021 Low-Rank Generalized Linear Bandit Problems AISTATS 2021 Low-Rank Tensor Completion by Approximating the Tensor Average Rank ICCV 2021 Matrix Completion with Model-free Weighting ICML 2021 Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise ICML 2021 On the Absence of Spurious Local Minima in Nonlinear Low-Rank Matrix Recovery Problems AISTATS 2021 Principal Component Regression with Semirandom Observations via Matrix Completion AISTATS 2021 Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates ICML 2021 Rate-Optimal Subspace Estimation on Random Graphs NeurIPS 2021 TenIPS: Inverse Propensity Sampling for Tensor Completion AISTATS 2021 Unlabeled Principal Component Analysis NeurIPS 2021 A Bias Trick for Centered Robust Principal Component Analysis (Student Abstract) AAAI 2020 Adversarial Crowdsourcing Through Robust Rank-One Matrix Completion NeurIPS 2020