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conftrace_

accelerated gradient

62 papers

AG

Papers

Boosting First-Order Methods by Shifting Objective: New Schemes with Faster Worst-Case Rates NeurIPS 2020 Complexity Guarantees for Polyak Steps with Momentum COLT 2020 Conformal Symplectic and Relativistic Optimization NeurIPS 2020 Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise JMLR 2020 From Nesterov’s Estimate Sequence to Riemannian Acceleration COLT 2020 Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping NeurIPS 2020 Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives AISTATS 2019 Accelerated Linear Convergence of Stochastic Momentum Methods in Wasserstein Distances ICML 2019 Acceleration via Symplectic Discretization of High-Resolution Differential Equations NeurIPS 2019 A Generic Acceleration Framework for Stochastic Composite Optimization NeurIPS 2019 An Optimal High-Order Tensor Method for Convex Optimization COLT 2019 Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems AAAI 2019 A unified variance-reduced accelerated gradient method for convex optimization NeurIPS 2019 A Universally Optimal Multistage Accelerated Stochastic Gradient Method NeurIPS 2019 Estimate Sequences for Variance-Reduced Stochastic Composite Optimization ICML 2019 On the Complexity of Approximating Wasserstein Barycenters ICML 2019 Acceleration through Optimistic No-Regret Dynamics NeurIPS 2018 Catalyst Acceleration for First-order Convex Optimization: from Theory to Practice JMLR 2018 Direct Runge-Kutta Discretization Achieves Acceleration NeurIPS 2018 FLAG n’ FLARE: Fast Linearly-Coupled Adaptive Gradient Methods AISTATS 2018 On Acceleration with Noise-Corrupted Gradients ICML 2018 Optimization Algorithm Inspired Deep Neural Network Structure Design ACML 2018 The Physical Systems Behind Optimization Algorithms NeurIPS 2018 Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization IJCAI 2017 Acceleration and Averaging in Stochastic Descent Dynamics NeurIPS 2017