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Optimization

1,664 papers

Papers per year

2
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150
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Papers

Parallel Double Greedy Submodular Maximization NIPS 2014
A Safe Screening Rule for Sparse Logistic Regression NIPS 2014
Bregman Alternating Direction Method of Multipliers NIPS 2014
An Accelerated Proximal Coordinate Gradient Method NIPS 2014
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives NIPS 2014
Scalable Kernel Methods via Doubly Stochastic Gradients NIPS 2014
Logistic Regression: Tight Bounds for Stochastic and Online Optimization COLT 2014
Recovering Surface Details under General Unknown Illumination Using Shading and Coarse Multi-view Stereo CVPR 2014
Gauss-Newton Deformable Part Models for Face Alignment in-the-Wild CVPR 2014
Evaluation of Scan-Line Optimization for 3D Medical Image Registration CVPR 2014
Deblurring Low-light Images with Light Streaks CVPR 2014
Generalized Nonconvex Nonsmooth Low-Rank Minimization CVPR 2014
Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization ICML 2014
Accelerated Mini-Batch Stochastic Dual Coordinate Ascent NIPS 2013
Phase Retrieval using Alternating Minimization NIPS 2013
Linear Convergence with Condition Number Independent Access of Full Gradients NIPS 2013
On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization NIPS 2013
Non-Uniform Camera Shake Removal Using a Spatially-Adaptive Sparse Penalty NIPS 2013
Supervised Sparse Analysis and Synthesis Operators NIPS 2013
Adaptive dropout for training deep neural networks NIPS 2013
Fast Template Evaluation with Vector Quantization NIPS 2013
Exact and Stable Recovery of Pairwise Interaction Tensors NIPS 2013
Convex Two-Layer Modeling NIPS 2013
Accelerating Stochastic Gradient Descent using Predictive Variance Reduction NIPS 2013
When in Doubt, SWAP: High-Dimensional Sparse Recovery from Correlated Measurements NIPS 2013