Optimization

DSA: Decentralized Double Stochastic Averaging Gradient Algorithm JMLR 2016 Dual Space Gradient Descent for Online Learning NeurIPS 2016 Dynamic Capacity Networks ICML 2016 Dynamic matrix recovery from incomplete observations under an exact low-rank constraint NeurIPS 2016 Dynamic Network Surgery for Efficient DNNs NeurIPS 2016 Efficient approaches for escaping higher order saddle points in non-convex optimization COLT 2016 Efficient Coarse-To-Fine PatchMatch for Large Displacement Optical Flow CVPR 2016 Efficient Globally Convergent Stochastic Optimization for Canonical Correlation Analysis NeurIPS 2016 Efficient High-Order Interaction-Aware Feature Selection Based on Conditional Mutual Information NeurIPS 2016 Efficient Large-Scale Approximate Nearest Neighbor Search on the GPU CVPR 2016 Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity ICML 2016 Efficient Neural Codes under Metabolic Constraints NeurIPS 2016 Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation CVPR 2016 Efficient Point Process Inference for Large-Scale Object Detection CVPR 2016 Efficient Second Order Online Learning by Sketching NeurIPS 2016 Efficient Segmental Cascades for Speech Recognition Interspeech 2016 Efficient Training of Very Deep Neural Networks for Supervised Hashing CVPR 2016 Energetic Natural Gradient Descent ICML 2016 Entropy Based Pruning for Non-Negative Matrix Based Language Models with Contextual Features Interspeech 2016 Enumerating Equivalence Classes of Bayesian Networks using EC Graphs AISTATS 2016 Epigraph projections for fast general convex programming ICML 2016 Equiangular Kernel Dictionary Learning With Applications to Dynamic Texture Analysis CVPR 2016 Estimation from Indirect Supervision with Linear Moments ICML 2016 Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling ICML 2016 Exact Recovery of Hard Thresholding Pursuit NeurIPS 2016