Optimization

Improved Iteration Complexity Bounds of Cyclic Block Coordinate Descent for Convex Problems NeurIPS 2015 Learning with Incremental Iterative Regularization NeurIPS 2015 Low-Rank Tensor Approximation With Laplacian Scale Mixture Modeling for Multiframe Image Denoising ICCV 2015 Minimum Barrier Salient Object Detection at 80 FPS ICCV 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 Stochastic Spectral Descent for Restricted Boltzmann Machines AISTATS 2015 Superdifferential Cuts for Binary Energies CVPR 2015 An Accelerated Proximal Coordinate Gradient Method NeurIPS 2014 A Safe Screening Rule for Sparse Logistic Regression NeurIPS 2014 Bregman Alternating Direction Method of Multipliers NeurIPS 2014 Convex Deep Learning via Normalized Kernels NeurIPS 2014 Deblurring Low-light Images with Light Streaks CVPR 2014 Evaluation of Scan-Line Optimization for 3D Medical Image Registration CVPR 2014 Gauss-Newton Deformable Part Models for Face Alignment in-the-Wild CVPR 2014 Generalized Nonconvex Nonsmooth Low-Rank Minimization CVPR 2014 Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization ICML 2014 Large-Margin Convex Polytope Machine NeurIPS 2014 large scale canonical correlation analysis with iterative least squares NeurIPS 2014 Logistic Regression: Tight Bounds for Stochastic and Online Optimization COLT 2014