convergence rate

On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants NeurIPS 2015 Open Problem: The Oracle Complexity of Smooth Convex Optimization in Nonstandard Settings COLT 2015 Optimality of Poisson Processes Intensity Learning with Gaussian Processes JMLR 2015 Proximal Average Approximated Incremental Gradient Method for Composite Penalty Regularized Empirical Risk Minimization ACML 2015 Semi-Proximal Mirror-Prox for Nonsmooth Composite Minimization NeurIPS 2015 Smooth and Strong: MAP Inference with Linear Convergence NeurIPS 2015 StopWasting My Gradients: Practical SVRG NeurIPS 2015 Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms NeurIPS 2015 A Bayesian Framework for Online Classifier Ensemble ICML 2014 A Convergence Rate Analysis for LogitBoost, MART and Their Variant ICML 2014 Adaptivity of Averaged Stochastic Gradient Descent to Local Strong Convexity for Logistic Regression JMLR 2014 A Differential Equation for Modeling Nesterov’s Accelerated Gradient Method: Theory and Insights NeurIPS 2014 An Accelerated Proximal Coordinate Gradient Method NeurIPS 2014 A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data ICML 2014 Beyond the Regret Minimization Barrier: Optimal Algorithms for Stochastic Strongly-Convex Optimization JMLR 2014 Communication-Efficient Distributed Dual Coordinate Ascent NeurIPS 2014 Constrained convex minimization via model-based excessive gap NeurIPS 2014 Convergence rates for persistence diagram estimation in Topological Data Analysis ICML 2014 Fast Distribution To Real Regression AISTATS 2014 Fast Stochastic Alternating Direction Method of Multipliers ICML 2014 From Stochastic Mixability to Fast Rates NeurIPS 2014 Learning without concentration COLT 2014 Logistic Regression: Tight Bounds for Stochastic and Online Optimization COLT 2014 Multivariate f-divergence Estimation With Confidence NeurIPS 2014 On the Convergence Rate of Decomposable Submodular Function Minimization NeurIPS 2014