Co-occurring keywords · papers mentioning both
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