coordinate descent

An Accelerated Proximal Coordinate Gradient Method NeurIPS 2014 Coordinate-descent for learning orthogonal matrices through Givens rotations ICML 2014 Iteration Complexity of Feasible Descent Methods for Convex Optimization JMLR 2014 Probabilistic low-rank matrix completion on finite alphabets NeurIPS 2014 Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space NeurIPS 2014 Accelerated Coordinate Descent with Adaptive Coordinate Frequencies ACML 2013 Accelerated Mini-Batch Stochastic Dual Coordinate Ascent NeurIPS 2013 Algorithms for Direct 0–1 Loss Optimization in Binary Classification ICML 2013 BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables NeurIPS 2013 Direct 0-1 Loss Minimization and Margin Maximization with Boosting NeurIPS 2013 Heterogeneous-Neighborhood-based Multi-Task Local Learning Algorithms NeurIPS 2013 Optimization with First-Order Surrogate Functions ICML 2013 An Improved GLMNET for L1-regularized Logistic Regression JMLR 2012 Coherence Functions with Applications in Large-Margin Classification Methods JMLR 2012 Convergence Rate Analysis of MAP Coordinate Minimization Algorithms NeurIPS 2012 Feature Clustering for Accelerating Parallel Coordinate Descent NeurIPS 2012 Learning from the Wisdom of Crowds by Minimax Entropy NeurIPS 2012 Lifted coordinate descent for learning with trace-norm regularization AISTATS 2012 Toward a Noncommutative Arithmetic-geometric Mean Inequality: Conjectures, Case-studies, and Consequences COLT 2012 Variable Selection in High-dimensional Varying-coefficient Models with Global Optimality JMLR 2012 Multiclass Boosting: Theory and Algorithms NeurIPS 2011 Statistical Tests for Optimization Efficiency NeurIPS 2011 A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification JMLR 2010 Adaptive Multi-Task Lasso: with Application to eQTL Detection NeurIPS 2010 Descent Methods for Tuning Parameter Refinement AISTATS 2010