convex optimization

Subspace Clustering With Priors via Sparse Quadratically Constrained Quadratic Programming CVPR 2016 Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization CVPR 2016 Tight Complexity Bounds for Optimizing Composite Objectives NeurIPS 2016 Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient ICML 2016 Train faster, generalize better: Stability of stochastic gradient descent ICML 2016 Trend Filtering on Graphs JMLR 2016 Unified Methods for Exploiting Piecewise Linear Structure in Convex Optimization NeurIPS 2016 Variance-Reduced and Projection-Free Stochastic Optimization ICML 2016 Volumetric Spanners: An Efficient Exploration Basis for Learning JMLR 2016 3D Shape Estimation From 2D Landmarks: A Convex Relaxation Approach CVPR 2015 Accelerated Mirror Descent in Continuous and Discrete Time NeurIPS 2015 A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements NeurIPS 2015 A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models ICML 2015 A Convex Optimization Approach to Robust Fundamental Matrix Estimation CVPR 2015 A Convex Optimization Framework for Bi-Clustering ICML 2015 Adaptive Online Learning NeurIPS 2015 Adaptive Primal-Dual Splitting Methods for Statistical Learning and Image Processing NeurIPS 2015 Adaptive Recovery of Signals by Convex Optimization COLT 2015 A Lower Bound for the Optimization of Finite Sums ICML 2015 A Matrix Decomposition Perspective to Multiple Graph Matching ICCV 2015 Analysis of Robust PCA via Local Incoherence NeurIPS 2015 An Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimization ICML 2015 An Asynchronous Parallel Stochastic Coordinate Descent Algorithm JMLR 2015 Asynchronous stochastic convex optimization: the noise is in the noise and SGD don't care NeurIPS 2015 A Universal Catalyst for First-Order Optimization NeurIPS 2015