alternating direction method of multiplier

Robust Blind Text Image Deblurring via Maximum Consensus Framework AAAI 2024 Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework AAAI 2023 Delay-agnostic Asynchronous Coordinate Update Algorithm ICML 2023 From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning ICML 2023 Global Identifiability of ℓ_1-based Dictionary Learning via Matrix Volume Optimization NeurIPS 2023 Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates NeurIPS 2023 LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees NeurIPS 2023 Solving Constrained Variational Inequalities via a First-order Interior Point-based Method ICLR 2023 Degradation Accordant Plug-and-Play for Low-Rank Tensor Completion IJCAI 2022 FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning ICML 2022 NysADMM: faster composite convex optimization via low-rank approximation ICML 2022 Towards Federated Bayesian Network Structure Learning with Continuous Optimization AISTATS 2022 A Distributed Method for Fitting Laplacian Regularized Stratified Models JMLR 2021 A Fast Globally Linearly Convergent Algorithm for the Computation of Wasserstein Barycenters JMLR 2021 Alternating Direction Method of Multipliers for Quantization AISTATS 2021 A Note on Sparse Generalized Eigenvalue Problem NeurIPS 2021 Bilinear Parameterization for Non-Separable Singular Value Penalties CVPR 2021 Deep Spectral Ranking AISTATS 2021 Distributed Machine Learning with Sparse Heterogeneous Data NeurIPS 2021 Graphical Models in Heavy-Tailed Markets NeurIPS 2021 NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM NeurIPS 2021 On ADMM in Deep Learning: Convergence and Saturation-Avoidance JMLR 2021 Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits ICLR 2021 The benefits of sharing: a cloud-aided performance-driven framework to learn optimal feedback policies L4DC 2021 Towards Efficient Tensor Decomposition-Based DNN Model Compression With Optimization Framework CVPR 2021