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Optimization

1638 directly classified papers

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Papers

Preconditioned Spectral Descent for Deep Learning NIPS 2015
On Pairwise Costs for Network Flow Multi-Object Tracking CVPR 2015
FaLRR: A Fast Low Rank Representation Solver CVPR 2015
A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Training Structural SVMs With a Costly Max-Oracle CVPR 2015
Superdifferential Cuts for Binary Energies CVPR 2015
Path-SGD: Path-Normalized Optimization in Deep Neural Networks NIPS 2015
A Projection Free Method for Generalized Eigenvalue Problem With a Nonsmooth Regularizer ICCV 2015
Minimum Barrier Salient Object Detection at 80 FPS ICCV 2015
Pan-Sharpening With a Hyper-Laplacian Penalty ICCV 2015
Low-Rank Tensor Approximation With Laplacian Scale Mixture Modeling for Multiframe Image Denoising ICCV 2015
Stochastic Spectral Descent for Restricted Boltzmann Machines AISTATS 2015
A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis ICML 2015
Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling NIPS 2015
Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization NIPS 2015
Improved Iteration Complexity Bounds of Cyclic Block Coordinate Descent for Convex Problems NIPS 2015
Hessian-free Optimization for Learning Deep Multidimensional Recurrent Neural Networks NIPS 2015
Escaping From Saddle Points — Online Stochastic Gradient for Tensor Decomposition COLT 2015
Fast Randomized Singular Value Thresholding for Nuclear Norm Minimization CVPR 2015
Evaluation of Scan-Line Optimization for 3D Medical Image Registration CVPR 2014
Generalized Nonconvex Nonsmooth Low-Rank Minimization CVPR 2014
Deblurring Low-light Images with Light Streaks CVPR 2014
An Accelerated Proximal Coordinate Gradient Method NIPS 2014
large scale canonical correlation analysis with iterative least squares NIPS 2014
Convex Deep Learning via Normalized Kernels NIPS 2014
Online Optimization for Max-Norm Regularization NIPS 2014