convergence rate

Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization ICML 2019 First-Order Algorithms Converge Faster than $O(1/k)$ on Convex Problems ICML 2019 General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme NeurIPS 2019 Gradient Descent for One-Hidden-Layer Neural Networks: Polynomial Convergence and SQ Lower Bounds COLT 2019 Gradient Descent Provably Optimizes Over-parameterized Neural Networks ICLR 2019 Ivanov-Regularised Least-Squares Estimators over Large RKHSs and Their Interpolation Spaces JMLR 2019 More Efficient Off-Policy Evaluation through Regularized Targeted Learning ICML 2019 Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses NeurIPS 2019 On the convergence of single-call stochastic extra-gradient methods NeurIPS 2019 On the Convergence Rate of Training Recurrent Neural Networks NeurIPS 2019 Optimal Convergence Rates for Convex Distributed Optimization in Networks JMLR 2019 Optimal Minimization of the Sum of Three Convex Functions with a Linear Operator AISTATS 2019 Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates NeurIPS 2019 Proximal Splitting Meets Variance Reduction AISTATS 2019 Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization IJCAI 2019 Random Shuffling Beats SGD after Finite Epochs ICML 2019 Rates of Convergence for Large-scale Nearest Neighbor Classification NeurIPS 2019 Rates of Convergence for Sparse Variational Gaussian Process Regression ICML 2019 Reducing training time by efficient localized kernel regression AISTATS 2019 Regularized Contextual Bandits AISTATS 2019 SGD without Replacement: Sharper Rates for General Smooth Convex Functions ICML 2019 Sparse Kernel Regression with Coefficient-based ℓ_q-regularization JMLR 2019 Stagewise Training Accelerates Convergence of Testing Error Over SGD NeurIPS 2019 Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem NeurIPS 2019 Stochastic Approximation of Smooth and Strongly Convex Functions: Beyond the $O(1/T)$ Convergence Rate COLT 2019