Optimization

Online Optimization for Max-Norm Regularization NeurIPS 2014 Parallel Double Greedy Submodular Maximization NeurIPS 2014 Recovering Surface Details under General Unknown Illumination Using Shading and Coarse Multi-view Stereo CVPR 2014 SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives NeurIPS 2014 Scalable Kernel Methods via Doubly Stochastic Gradients NeurIPS 2014 Stochastic Proximal Gradient Descent with Acceleration Techniques NeurIPS 2014 Time--Data Tradeoffs by Aggressive Smoothing NeurIPS 2014 Accelerated Mini-Batch Stochastic Dual Coordinate Ascent NeurIPS 2013 Accelerating Stochastic Gradient Descent using Predictive Variance Reduction NeurIPS 2013 A Convex Regularizer for Reducing Color Artifact in Color Image Recovery CVPR 2013 Adaptive dropout for training deep neural networks NeurIPS 2013 Beyond Hard Negative Mining: Efficient Detector Learning via Block-Circulant Decomposition ICCV 2013 Blind Calibration in Compressed Sensing using Message Passing Algorithms NeurIPS 2013 Blind Deconvolution of Widefield Fluorescence Microscopic Data by Regularization of the Optical Transfer Function (OTF) CVPR 2013 Convex Two-Layer Modeling NeurIPS 2013 Deformable Graph Matching CVPR 2013 Depth Super Resolution by Rigid Body Self-Similarity in 3D CVPR 2013 Dynamic Structured Model Selection ICCV 2013 Exact and Stable Recovery of Pairwise Interaction Tensors NeurIPS 2013 Fast algorithms for sparse principal component analysis based on Rayleigh quotient iteration ICML 2013 Fast Template Evaluation with Vector Quantization NeurIPS 2013 Go-ICP: Solving 3D Registration Efficiently and Globally Optimally ICCV 2013 Linear Convergence with Condition Number Independent Access of Full Gradients NeurIPS 2013 Non-Uniform Camera Shake Removal Using a Spatially-Adaptive Sparse Penalty NeurIPS 2013 On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization NeurIPS 2013