convergence rate

Primal-Dual Rates and Certificates ICML 2016 Starting Small - Learning with Adaptive Sample Sizes ICML 2016 Stochastic Variance Reduction for Nonconvex Optimization ICML 2016 Accelerated Proximal Gradient Methods for Nonconvex Programming NeurIPS 2015 Adaptive Primal-Dual Splitting Methods for Statistical Learning and Image Processing NeurIPS 2015 Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization NeurIPS 2015 Asynchronous stochastic convex optimization: the noise is in the noise and SGD don't care NeurIPS 2015 A Universal Primal-Dual Convex Optimization Framework NeurIPS 2015 Bayesian Optimization with Exponential Convergence NeurIPS 2015 Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization ICML 2015 Convergence Analysis of Prediction Markets via Randomized Subspace Descent NeurIPS 2015 Convergence rate of Bayesian tensor estimator and its minimax optimality ICML 2015 Convergence Rates for Persistence Diagram Estimation in Topological Data Analysis JMLR 2015 Convergence Rates of Active Learning for Maximum Likelihood Estimation NeurIPS 2015 Convergence rates of sub-sampled Newton methods NeurIPS 2015 Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection ICML 2015 \ell_1,p-Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods ICML 2015 Extending Gossip Algorithms to Distributed Estimation of U-statistics NeurIPS 2015 Faster Rates for the Frank-Wolfe Method over Strongly-Convex Sets ICML 2015 Fast Rates for Exp-concave Empirical Risk Minimization NeurIPS 2015 Learning Theory of Randomized Kaczmarz Algorithm JMLR 2015 Newton-Stein Method: A Second Order Method for GLMs via Stein's Lemma NeurIPS 2015 Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields AISTATS 2015 On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators NeurIPS 2015 On the Global Linear Convergence of Frank-Wolfe Optimization Variants NeurIPS 2015