low-rank matrix

Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm ICML 2022 KoPA: Automated Kronecker Product Approximation JMLR 2022 Matrix Completion with Covariate Information and Informative Missingness JMLR 2022 Nonconvex Matrix Completion with Linearly Parameterized Factors JMLR 2022 One for All: Simultaneous Metric and Preference Learning over Multiple Users NeurIPS 2022 On Low-rank Trace Regression under General Sampling Distribution JMLR 2022 Predicting Long-Term Citations from Short-Term Linguistic Influence EMNLP 2022 Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent JMLR 2021 Learning Treatment Effects in Panels with General Intervention Patterns NeurIPS 2021 Low-Rank Generalized Linear Bandit Problems AISTATS 2021 Matrix Completion with Model-free Weighting ICML 2021 Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise ICML 2021 Optimal Gradient-based Algorithms for Non-concave Bandit Optimization NeurIPS 2021 Principal Subspace Estimation Under Information Diffusion AISTATS 2021 The Bethe and Sinkhorn Permanents of Low Rank Matrices and Implications for Profile Maximum Likelihood COLT 2021 Unique sparse decomposition of low rank matrices NeurIPS 2021 Accelerated Factored Gradient Descent for Low-Rank Matrix Factorization AISTATS 2020 A novel variational form of the Schatten-p quasi-norm NeurIPS 2020 Fast Exact Matrix Completion: A Unified Optimization Framework for Matrix Completion JMLR 2020 Latent Simplex Position Model: High Dimensional Multi-view Clustering with Uncertainty Quantification JMLR 2020 Linear-Sample Learning of Low-Rank Distributions NeurIPS 2020 Matrix Completion with Hierarchical Graph Side Information NeurIPS 2020 Multichannel Color Image Denoising via Weighted Schatten p-norm Minimization IJCAI 2020 On the Convergence of Stochastic Gradient Descent with Low-Rank Projections for Convex Low-Rank Matrix Problems COLT 2020 Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning AAAI 2020