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Optimization

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Papers

Video Matting via Sparse and Low-Rank Representation ICCV 2015 Video Summarization by Learning Submodular Mixtures of Objectives CVPR 2015 Volumetric Bias in Segmentation and Reconstruction: Secrets and Solutions ICCV 2015 Wide Baseline Stereo Matching With Convex Bounded Distortion Constraints ICCV 2015 100+ Times Faster Weighted Median Filter (WMF) CVPR 2014 A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation NeurIPS 2014 Accelerated Mini-batch Randomized Block Coordinate Descent Method NeurIPS 2014 Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization ICML 2014 Accelerated Stochastic Gradient Method for Composite Regularization AISTATS 2014 A Convergence Rate Analysis for LogitBoost, MART and Their Variant ICML 2014 A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates COLT 2014 Adaptive Partial Differential Equation Learning for Visual Saliency Detection CVPR 2014 A Differential Equation for Modeling Nesterov’s Accelerated Gradient Method: Theory and Insights NeurIPS 2014 A Drifting-Games Analysis for Online Learning and Applications to Boosting NeurIPS 2014 A Dual Algorithm for Olfactory Computation in the Locust Brain NeurIPS 2014 A Filtering Approach to Stochastic Variational Inference NeurIPS 2014 A Geometric Algorithm for Scalable Multiple Kernel Learning AISTATS 2014 Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy ICML 2014 Algorithms for CVaR Optimization in MDPs NeurIPS 2014 Alternating Linearization for Structured Regularization Problems JMLR 2014 Alternating Minimization for Mixed Linear Regression ICML 2014 An Accelerated Proximal Coordinate Gradient Method NeurIPS 2014 An Adaptive Accelerated Proximal Gradient Method and its Homotopy Continuation for Sparse Optimization ICML 2014 Analog Memories in a Balanced Rate-Based Network of E-I Neurons NeurIPS 2014 An Automata-Theoretic Approach to the Vehicle Routing Problem RSS 2014