Optimization & Theory

Minimum Barrier Salient Object Detection at 80 FPS ICCV 2015 Natural Neural Networks NeurIPS 2015 On Pairwise Costs for Network Flow Multi-Object Tracking CVPR 2015 On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants NeurIPS 2015 Pan-Sharpening With a Hyper-Laplacian Penalty ICCV 2015 Path-SGD: Path-Normalized Optimization in Deep Neural Networks NeurIPS 2015 Preconditioned Spectral Descent for Deep Learning NeurIPS 2015 Probabilistic Line Searches for Stochastic Optimization NeurIPS 2015 Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling NeurIPS 2015 Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition NeurIPS 2015 Robust PCA with compressed data NeurIPS 2015 Scalable Object Detection by Filter Compression With Regularized Sparse Coding CVPR 2015 Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients NeurIPS 2015 Sparse Convolutional Neural Networks CVPR 2015 Sparse Projections for High-Dimensional Binary Codes CVPR 2015 Spectral Representations for Convolutional Neural Networks NeurIPS 2015 Stochastic Spectral Descent for Restricted Boltzmann Machines AISTATS 2015 StopWasting My Gradients: Practical SVRG NeurIPS 2015 Structured Transforms for Small-Footprint Deep Learning NeurIPS 2015 Superdifferential Cuts for Binary Energies CVPR 2015 Superpixel Meshes for Fast Edge-Preserving Surface Reconstruction CVPR 2015 Supervised Learning for Dynamical System Learning NeurIPS 2015 Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms NeurIPS 2015 Tensorizing Neural Networks NeurIPS 2015 Training Very Deep Networks NeurIPS 2015