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Optimization

1638 directly classified papers

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Papers

Beyond Hard Negative Mining: Efficient Detector Learning via Block-Circulant Decomposition ICCV 2013
Deformable Graph Matching CVPR 2013
A Convex Regularizer for Reducing Color Artifact in Color Image Recovery CVPR 2013
Optimized Pedestrian Detection for Multiple and Occluded People CVPR 2013
Depth Super Resolution by Rigid Body Self-Similarity in 3D CVPR 2013
Go-ICP: Solving 3D Registration Efficiently and Globally Optimally ICCV 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
Fast Template Evaluation with Vector Quantization NIPS 2013
Convex Two-Layer Modeling NIPS 2013
Dynamic Structured Model Selection ICCV 2013
Accelerating Stochastic Gradient Descent using Predictive Variance Reduction NIPS 2013
Large Scale Distributed Deep Networks NIPS 2012
Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning NIPS 2012
Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization NIPS 2012
Scaled Gradients on Grassmann Manifolds for Matrix Completion NIPS 2012
Krylov Subspace Descent for Deep Learning AISTATS 2012
A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification AISTATS 2012
Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes NIPS 2012
Proximal Newton-type methods for convex optimization NIPS 2012
Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent NIPS 2011
Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization NIPS 2011
A blind sparse deconvolution method for neural spike identification NIPS 2011
Parallelized Stochastic Gradient Descent NIPS 2010
Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake NIPS 2010