convex optimization

Local Minimax Complexity of Stochastic Convex Optimization NeurIPS 2016 Mapping Estimation for Discrete Optimal Transport NeurIPS 2016 Minimizing the Maximal Rank CVPR 2016 Multistage Campaigning in Social Networks NeurIPS 2016 Normalized Spectral Map Synchronization NeurIPS 2016 NuC-MKL: A Convex Approach to Non Linear Multiple Kernel Learning AISTATS 2016 On Lower and Upper Bounds in Smooth and Strongly Convex Optimization JMLR 2016 On Regularizing Rademacher Observation Losses NeurIPS 2016 On the Iteration Complexity of Oblivious First-Order Optimization Algorithms ICML 2016 On the properties of variational approximations of Gibbs posteriors JMLR 2016 Optimal Binary Classifier Aggregation for General Losses NeurIPS 2016 Optimal Black-Box Reductions Between Optimization Objectives NeurIPS 2016 Parameter-Free Convex Learning through Coin Betting AutoML 2016 Primary Object Segmentation in Videos via Alternate Convex Optimization of Foreground and Background Distributions CVPR 2016 Robust Principal Component Analysis with Side Information ICML 2016 Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit CVPR 2016 SDCA without Duality, Regularization, and Individual Convexity ICML 2016 Semi-Supervised Learning with Adaptive Spectral Transform AISTATS 2016 Stochastic Online AUC Maximization NeurIPS 2016 Stochastic Three-Composite Convex Minimization NeurIPS 2016 Stochastic Variance Reduction Methods for Saddle-Point Problems NeurIPS 2016 Structure-Blind Signal Recovery NeurIPS 2016 Structured Matrix Recovery via the Generalized Dantzig Selector NeurIPS 2016 Structure Learning of Partitioned Markov Networks ICML 2016 Sub-sampled Newton Methods with Non-uniform Sampling NeurIPS 2016