first-order method

SEGA: Variance Reduction via Gradient Sketching NeurIPS 2018 The Lingering of Gradients: How to Reuse Gradients Over Time NeurIPS 2018 Adaptive SVRG Methods under Error Bound Conditions with Unknown Growth Parameter NeurIPS 2017 A New Alternating Direction Method for Linear Programming NeurIPS 2017 First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization NeurIPS 2017 Geometric Descent Method for Convex Composite Minimization NeurIPS 2017 Natasha: Faster Non-Convex Stochastic Optimization via Strongly Non-Convex Parameter ICML 2017 Smoothing Method for Approximate Extensive-Form Perfect Equilibrium IJCAI 2017 Stochastic Approximation for Canonical Correlation Analysis NeurIPS 2017 Adaptive Averaging in Accelerated Descent Dynamics NeurIPS 2016 First-order Methods for Geodesically Convex Optimization COLT 2016 Accelerated Mirror Descent in Continuous and Discrete Time NeurIPS 2015 \ell_1,p-Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods ICML 2015 Open Problem: The Oracle Complexity of Smooth Convex Optimization in Nonstandard Settings COLT 2015 Semi-Proximal Mirror-Prox for Nonsmooth Composite Minimization NeurIPS 2015 Constrained convex minimization via model-based excessive gap NeurIPS 2014 Proximal Newton-type methods for convex optimization NeurIPS 2012