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conftrace_

convex optimization

1,445 papers

CO

Papers

Robust learning of low-dimensional dynamics from large neural ensembles NeurIPS 2013 Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching NeurIPS 2013 Robust Regression on MapReduce ICML 2013 Similarity Metric Learning for Face Recognition ICCV 2013 Simultaneous Super-Resolution of Depth and Images Using a Single Camera CVPR 2013 Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting ICML 2013 Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis NeurIPS 2013 Spectral Learning of Hidden Markov Models from Dynamic and Static Data ICML 2013 Stochastic Alternating Direction Method of Multipliers ICML 2013 Stochastic Convex Optimization with Multiple Objectives NeurIPS 2013 Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization JMLR 2013 Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes ICML 2013 Stochastic Majorization-Minimization Algorithms for Large-Scale Optimization NeurIPS 2013 Super-resolution via Transform-Invariant Group-Sparse Regularization ICCV 2013 The Episolar Constraint: Monocular Shape from Shadow Correspondence CVPR 2013 The Variational Structure of Disparity and Regularization of 4D Light Fields CVPR 2013 Tree Shape Priors with Connectivity Constraints Using Convex Relaxation on General Graphs ICCV 2013 Uncover Topic-Sensitive Information Diffusion Networks AISTATS 2013 Unifying Nuclear Norm and Bilinear Factorization Approaches for Low-Rank Matrix Decomposition ICCV 2013 Accelerated Training for Matrix-norm Regularization: A Boosting Approach NeurIPS 2012 Accuracy at the Top NeurIPS 2012 A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation NeurIPS 2012 A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation NeurIPS 2012 A General Framework for Structured Sparsity via Proximal Optimization AISTATS 2012 Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation AISTATS 2012