alternating minimization

Self-Supervised Geometric Perception CVPR 2021 Sparse Tensor Additive Regression JMLR 2021 Statistically and Computationally Efficient Linear Meta-representation Learning NeurIPS 2021 Adversarial Crowdsourcing Through Robust Rank-One Matrix Completion NeurIPS 2020 GLAD: Learning Sparse Graph Recovery ICLR 2020 Recommendation on a Budget: Column Space Recovery from Partially Observed Entries with Random or Active Sampling AISTATS 2020 Tensor Completion Made Practical NeurIPS 2020 Beyond Alternating Updates for Matrix Factorization with Inertial Bregman Proximal Gradient Algorithms NeurIPS 2019 Beyond Backprop: Online Alternating Minimization with Auxiliary Variables ICML 2019 Computational Hyperspectral Imaging Based on Dimension-Discriminative Low-Rank Tensor Recovery ICCV 2019 Learning Discrete and Continuous Factors of Data via Alternating Disentanglement ICML 2019 Optimization of Inf-Convolution Regularized Nonconvex Composite Problems AISTATS 2019 Alternating Randomized Block Coordinate Descent ICML 2018 An Improved Analysis of Alternating Minimization for Structured Multi-Response Regression NeurIPS 2018 Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization NeurIPS 2018 Learning From Noisy Singly-labeled Data ICLR 2018 Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals NeurIPS 2018 Alternating minimization for dictionary learning with random initialization NeurIPS 2017 A Strongly Quasiconvex PAC-Bayesian Bound ALT 2017 Deeply Aggregated Alternating Minimization for Image Restoration CVPR 2017 Fast, Sample-Efficient Algorithms for Structured Phase Retrieval NeurIPS 2017 Greedy Direction Method of Multiplier for MAP Inference of Large Output Domain AISTATS 2017 Matrix Completion from $O(n)$ Samples in Linear Time COLT 2017 Scalable Demand-Aware Recommendation NeurIPS 2017 A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation CVPR 2016