Co-occurring keywords · papers mentioning both
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