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alternating direction method of multiplier

145 papers

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Co-occurring keywords

convex optimization (1321) distributed optimization (275) stochastic optimization (1060) alternating direction method (35) convergence rate (607) sparse optimization (246) markov random field (303) distributed learning (563) sparse estimation (88) convergence analysis (395)

Papers

NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM NIPS 2021
Bilinear Parameterization for Non-Separable Singular Value Penalties CVPR 2021
Deep Spectral Ranking AISTATS 2021
The benefits of sharing: a cloud-aided performance-driven framework to learn optimal feedback policies L4DC 2021
A Fast Globally Linearly Convergent Algorithm for the Computation of Wasserstein Barycenters JMLR 2021
A Distributed Method for Fitting Laplacian Regularized Stratified Models JMLR 2021
A Note on Sparse Generalized Eigenvalue Problem NIPS 2021
Distributed Machine Learning with Sparse Heterogeneous Data NIPS 2021
On ADMM in Deep Learning: Convergence and Saturation-Avoidance JMLR 2021
Graphical Models in Heavy-Tailed Markets NIPS 2021
Alternating Direction Method of Multipliers for Quantization AISTATS 2021
Towards Efficient Tensor Decomposition-Based DNN Model Compression With Optimization Framework CVPR 2021
High-dimensional quantile tensor regression JMLR 2020
Discerning the Linear Convergence of ADMM for Structured Convex Optimization through the Lens of Variational Analysis JMLR 2020
Fast and Accurate Ranking Regression AISTATS 2020
GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning JMLR 2020
VideoOneNet: Bidirectional Convolutional Recurrent OneNet with Trainable Data Steps for Video Processing ICML 2020
Adversarial Nonnegative Matrix Factorization ICML 2020
Catching Cheats: Detecting Strategic Manipulation in Distributed Optimisation of Electric Vehicle Aggregators (Extended Abstract) IJCAI 2020
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates AAAI 2020
Optimal Approximation of Doubly Stochastic Matrices AISTATS 2020
High-Dimensional Interactions Detection with Sparse Principal Hessian Matrix JMLR 2020
An ADMM Based Framework for AutoML Pipeline Configuration AAAI 2020
Plug-and-Play Algorithms for Large-Scale Snapshot Compressive Imaging CVPR 2020
A Unified Optimization Framework for Low-Rank Inducing Penalties CVPR 2020