conftrace_

alternating direction method

35 papers

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Also known as

ADM

Co-occurring keywords

convex optimization (1321) alternating direction method of multiplier (145) sparse representation (297) graphical model (864) high-dimensional estimation (43) feature selection (649) matrix decomposition (119) low-rank representation (71) convergence rate (607) alternating directions (3)

Papers

A Unified Framework for Rank-based Loss Minimization NIPS 2023
Extensions to the Proximal Distance Method of Constrained Optimization JMLR 2022
Regularized and Smooth Double Core Tensor Factorization for Heterogeneous Data JMLR 2022
Integrative Generalized Convex Clustering Optimization and Feature Selection for Mixed Multi-View Data JMLR 2021
A Fast Globally Linearly Convergent Algorithm for the Computation of Wasserstein Barycenters JMLR 2021
Plug-and-Play Algorithms for Large-Scale Snapshot Compressive Imaging CVPR 2020
Beyond Gradient Descent for Regularized Segmentation Losses CVPR 2019
Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-Convex Optimization AAAI 2019
Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes IJCAI 2018
Estimation of Graphical Models through Structured Norm Minimization JMLR 2018
Correlation Tracking via Joint Discrimination and Reliability Learning CVPR 2018
Low-Rank-Sparse Subspace Representation for Robust Regression CVPR 2017
FFTLasso: Large-Scale LASSO in the Fourier Domain CVPR 2017
A New Alternating Direction Method for Linear Programming NIPS 2017
Efficient Training of Very Deep Neural Networks for Supervised Hashing CVPR 2016
Training Neural Networks Without Gradients: A Scalable ADMM Approach ICML 2016
Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning ICCV 2015
Simultaneous Pursuit of Sparseness and Rank Structures for Matrix Decomposition JMLR 2015
Sparse Representation Classification With Manifold Constraints Transfer CVPR 2015
Learning Graphical Models With Hubs JMLR 2014
Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition NIPS 2014
Constrained convex minimization via model-based excessive gap NIPS 2014
Robust Estimation of 3D Human Poses from a Single Image CVPR 2014
Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA NIPS 2013
Sparse Inverse Covariance Estimation with Calibration NIPS 2013