Co-occurring keywords · papers mentioning both
Papers
Accelerated Mini-batch Randomized Block Coordinate Descent Method
NeurIPS 2014
Accelerated Stochastic Gradient Method for Composite Regularization
AISTATS 2014
A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates
COLT 2014
A Differential Equation for Modeling Nesterov’s Accelerated Gradient Method: Theory and Insights
NeurIPS 2014
An Accelerated Proximal Coordinate Gradient Method
NeurIPS 2014
An Online Sparsity-Cognizant Loop-Closure Algorithm for Visual Navigation
RSS 2014
A Novel M-Estimator for Robust PCA
JMLR 2014
Approximating Hierarchical MV-sets for Hierarchical Clustering
NeurIPS 2014
Beyond the Birkhoff Polytope: Convex Relaxations for Vector Permutation Problems
NeurIPS 2014
Bregman Alternating Direction Method of Multipliers
NeurIPS 2014
Clustering from Labels and Time-Varying Graphs
NeurIPS 2014
Clustering Partially Observed Graphs via Convex Optimization
JMLR 2014
Concavity of reweighted Kikuchi approximation
NeurIPS 2014
Constrained convex minimization via model-based excessive gap
NeurIPS 2014
Convex Deep Learning via Normalized Kernels
NeurIPS 2014
Convex Optimization Procedure for Clustering: Theoretical Revisit
NeurIPS 2014
Convex Total Least Squares
ICML 2014
Convex vs Non-Convex Estimators for Regression and Sparse Estimation: the Mean Squared Error Properties of ARD and GLasso
JMLR 2014
Decorrelated Vectorial Total Variation
CVPR 2014
Decoupled Variational Gaussian Inference
NeurIPS 2014
Deep Boosting
ICML 2014
Discriminative Sparse Inverse Covariance Matrix: Application in Brain Functional Network Classification
CVPR 2014
Efficient Algorithms for Robust One-bit Compressive Sensing
ICML 2014
Efficient Minimax Signal Detection on Graphs
NeurIPS 2014
Efficient Optimization for Average Precision SVM
NeurIPS 2014