Optimization

Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems NeurIPS 2015 Sparse Convolutional Neural Networks CVPR 2015 Sparse Dynamic 3D Reconstruction From Unsynchronized Videos ICCV 2015 Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent NeurIPS 2015 Sparse Projections for High-Dimensional Binary Codes CVPR 2015 Sparse Submodular Probabilistic PCA AISTATS 2015 Sparsistency of \ell_1-Regularized M-Estimators AISTATS 2015 Spatial Semantic Regularisation for Large Scale Object Detection ICCV 2015 Spherical Random Features for Polynomial Kernels NeurIPS 2015 SPM-BP: Sped-up PatchMatch Belief Propagation for Continuous MRFs ICCV 2015 Stochastic Dual Coordinate Ascent with Adaptive Probabilities ICML 2015 Stochastic Optimization with Importance Sampling for Regularized Loss Minimization ICML 2015 Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization ICML 2015 Stochastic Spectral Descent for Restricted Boltzmann Machines AISTATS 2015 Stochastic Structured Variational Inference AISTATS 2015 StopWasting My Gradients: Practical SVRG NeurIPS 2015 Structural Kernel Learning for Large Scale Multiclass Object Co-Detection ICCV 2015 Structured Estimation with Atomic Norms: General Bounds and Applications NeurIPS 2015 Subgraph Decomposition for Multi-Target Tracking CVPR 2015 Submodular Hamming Metrics NeurIPS 2015 Submodularity in Data Subset Selection and Active Learning ICML 2015 Subsampling Methods for Persistent Homology ICML 2015 Subset Selection by Pareto Optimization NeurIPS 2015 Superdifferential Cuts for Binary Energies CVPR 2015 Supervised Discrete Hashing CVPR 2015