conftrace_

accelerated gradient

62 papers

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Also known as

AG

Co-occurring keywords

convex optimization (1321) gradient descent (1144) stochastic optimization (1060) variance reduction (523) convergence rate (607) accelerated gradient method (29) nesterov acceleration (54) first-order method (89) strongly convex (89) momentum method (75)

Papers

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