Optimization

Time-Regularized Interrupting Options (TRIO) ICML 2014 Top Rank Optimization in Linear Time NeurIPS 2014 Total-Variation Minimization on Unstructured Volumetric Mesh: Biophysical Applications on Reconstruction of 3D Ischemic Myocardium CVPR 2014 Towards an optimal stochastic alternating direction method of multipliers ICML 2014 Towards Minimax Online Learning with Unknown Time Horizon ICML 2014 Towards Ultrahigh Dimensional Feature Selection for Big Data JMLR 2014 Tracking Adversarial Targets ICML 2014 Training Highly Multiclass Classifiers JMLR 2014 Transitive Distance Clustering with K-Means Duality CVPR 2014 Two-Class Weather Classification CVPR 2014 Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets NeurIPS 2014 Unconstrained Online Linear Learning in Hilbert Spaces: Minimax Algorithms and Normal Approximations COLT 2014 Uniqueness of Tensor Decompositions with Applications to Polynomial Identifiability COLT 2014 Volumetric Spanners: an Efficient Exploration Basis for Learning COLT 2014 Wasserstein Propagation for Semi-Supervised Learning ICML 2014 Zeta Hull Pursuits: Learning Nonconvex Data Hulls NeurIPS 2014 3D Sub-query Expansion for Improving Sketch-Based Multi-view Image Retrieval ICCV 2013 Accelerated Coordinate Descent with Adaptive Coordinate Frequencies ACML 2013 Accelerated Mini-Batch Stochastic Dual Coordinate Ascent NeurIPS 2013 Accelerating Stochastic Gradient Descent using Predictive Variance Reduction NeurIPS 2013 A Comparative Framework for Preconditioned Lasso Algorithms NeurIPS 2013 A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems CVPR 2013 A Convex Optimization Framework for Active Learning ICCV 2013 A C++ Template-Based Reinforcement Learning Library: Fitting the Code to the Mathematics JMLR 2013 Active Contours with Group Similarity CVPR 2013