Optimization

Variants of RMSProp and Adagrad with Logarithmic Regret Bounds ICML 2017 A Direct Least-Squares Solution to the PnP Problem With Unknown Focal Length CVPR 2016 A Simple Practical Accelerated Method for Finite Sums NeurIPS 2016 Bilateral Space Video Segmentation CVPR 2016 Blind Image Deconvolution by Automatic Gradient Activation CVPR 2016 Deep ADMM-Net for Compressive Sensing MRI NeurIPS 2016 D-GloVe: A Feasible Least Squares Model for Estimating Word Embedding Densities COLING 2016 Fast Algorithms for Linear and Kernel SVM+ CVPR 2016 Full Flow: Optical Flow Estimation By Global Optimization Over Regular Grids CVPR 2016 Gaussian quadrature for matrix inverse forms with applications ICML 2016 Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods NeurIPS 2016 Gradient-Domain Image Reconstruction Framework With Intensity-Range and Base-Structure Constraints CVPR 2016 Gravitational Approach for Point Set Registration CVPR 2016 Low-Rank Regression with Tensor Responses NeurIPS 2016 Online PCA with Optimal Regret JMLR 2016 Optimal Black-Box Reductions Between Optimization Objectives NeurIPS 2016 Pairwise Matching Through Max-Weight Bipartite Belief Propagation CVPR 2016 Parametric Object Motion From Blur CVPR 2016 Primary Object Segmentation in Videos via Alternate Convex Optimization of Foreground and Background Distributions CVPR 2016 Provable Efficient Online Matrix Completion via Non-convex Stochastic Gradient Descent NeurIPS 2016 Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization CVPR 2016 Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels JMLR 2016 Scalable Adaptive Stochastic Optimization Using Random Projections NeurIPS 2016 SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques NeurIPS 2016 Semantic 3D Reconstruction With Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint CVPR 2016