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conftrace_

alternating direction method

35 papers

ADM

Papers

A Unified Framework for Rank-based Loss Minimization NeurIPS 2023 Extensions to the Proximal Distance Method of Constrained Optimization JMLR 2022 Regularized and Smooth Double Core Tensor Factorization for Heterogeneous Data JMLR 2022 A Fast Globally Linearly Convergent Algorithm for the Computation of Wasserstein Barycenters JMLR 2021 Integrative Generalized Convex Clustering Optimization and Feature Selection for Mixed Multi-View Data 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 Correlation Tracking via Joint Discrimination and Reliability Learning CVPR 2018 Estimation of Graphical Models through Structured Norm Minimization JMLR 2018 Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes IJCAI 2018 A New Alternating Direction Method for Linear Programming NeurIPS 2017 FFTLasso: Large-Scale LASSO in the Fourier Domain CVPR 2017 Low-Rank-Sparse Subspace Representation for Robust Regression CVPR 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 Constrained convex minimization via model-based excessive gap NeurIPS 2014 Learning Graphical Models With Hubs JMLR 2014 Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition NeurIPS 2014 Robust Estimation of 3D Human Poses from a Single Image CVPR 2014 A message-passing algorithm for multi-agent trajectory planning NeurIPS 2013 A New Convex Relaxation for Tensor Completion NeurIPS 2013