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Optimization & Theory

7,804 papers (27 classified directly here)

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Papers (including subtopics)

Linear Convergence with Condition Number Independent Access of Full Gradients NeurIPS 2013 Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n) NeurIPS 2013 Non-Uniform Camera Shake Removal Using a Spatially-Adaptive Sparse Penalty NeurIPS 2013 On Algorithms for Sparse Multi-factor NMF NeurIPS 2013 On a Link Between Kernel Mean Maps and Fraunhofer Diffraction, with an Application to Super-Resolution Beyond the Diffraction Limit CVPR 2013 On Decomposing the Proximal Map NeurIPS 2013 On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization NeurIPS 2013 Optimization Problems for Fast AAM Fitting in-the-Wild ICCV 2013 Optimized Pedestrian Detection for Multiple and Occluded People CVPR 2013 Phase Retrieval using Alternating Minimization NeurIPS 2013 Predicting Parameters in Deep Learning NeurIPS 2013 Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima NeurIPS 2013 Sharp Generalization Error Bounds for Randomly-projected Classifiers ICML 2013 Stochastic Optimization of PCA with Capped MSG NeurIPS 2013 Supervised Sparse Analysis and Synthesis Operators NeurIPS 2013 Texture Enhanced Image Denoising via Gradient Histogram Preservation CVPR 2013 The Episolar Constraint: Monocular Shape from Shadow Correspondence CVPR 2013 The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited NeurIPS 2013 Understanding Dropout NeurIPS 2013 Variance Reduction for Stochastic Gradient Optimization NeurIPS 2013 When in Doubt, SWAP: High-Dimensional Sparse Recovery from Correlated Measurements NeurIPS 2013 A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification AISTATS 2012 A Note on Metric Properties for Some Divergence Measures: The Gaussian Case ACML 2012 Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning NeurIPS 2012 A Stochastic Gradient Method with an Exponential Convergence _Rate for Finite Training Sets NeurIPS 2012