block coordinate descent

Robust Training in High Dimensions via Block Coordinate Geometric Median Descent AISTATS 2022 Simultaneous Graph Signal Clustering and Graph Learning ICML 2022 A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance ICML 2021 A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization ICML 2021 Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models AAAI 2021 Large-Scale Learning with Fourier Features and Tensor Decompositions NeurIPS 2021 Fenchel Lifted Networks: A Lagrange Relaxation of Neural Network Training AISTATS 2020 Inertial Block Proximal Methods for Non-Convex Non-Smooth Optimization ICML 2020 Nonlinear System Identification via Tensor Completion AAAI 2020 Relative Interior Rule in Block-Coordinate Descent CVPR 2020 Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction AAAI 2020 Unique Sharp Local Minimum in L1-minimization Complete Dictionary Learning JMLR 2020 A2BCD: Asynchronous Acceleration with Optimal Complexity ICLR 2019 A Block Coordinate Descent Proximal Method for Simultaneous Filtering and Parameter Estimation ICML 2019 A Local Block Coordinate Descent Algorithm for the CSC Model CVPR 2019 Block Coordinate Regularization by Denoising NeurIPS 2019 Fast Sparse Group Lasso NeurIPS 2019 Global Convergence of Block Coordinate Descent in Deep Learning ICML 2019 Lifted Proximal Operator Machines AAAI 2019 Self-Paced Multi-Label Learning with Diversity ACML 2019 Stochastic first-order methods: non-asymptotic and computer-aided analyses via potential functions COLT 2019 Adaptive Dropout with Rademacher Complexity Regularization ICLR 2018 Continuous Relaxation of MAP Inference: A Nonconvex Perspective CVPR 2018 Document Context Neural Machine Translation with Memory Networks ACL 2018 Randomized Block Cubic Newton Method ICML 2018