Co-occurring keywords · papers mentioning both
Papers
Accelerated Convex Optimization via Hamiltonian Dynamics with Deterministic Integration Time
COLT 2026
Accelerated Over-Relaxation Heavy-Ball Method: Achieving Global Accelerated Convergence with Broad Generalization
ICLR 2025
Provable Accelerated Convergence of Nesterov’s Momentum for Deep ReLU Neural Networks
ALT 2024
Accelerated Primal-Dual Mirror Dynamics for Centralized and Distributed Constrained Convex Optimization Problems
JMLR 2023
Accelerated Stochastic Optimization Methods under Quasar-convexity
ICML 2023
Accelerating Value Iteration with Anchoring
NeurIPS 2023
Acceleration of Frank-Wolfe Algorithms with Open-Loop Step-Sizes
AISTATS 2023
Accelerated Primal-Dual Gradient Method for Smooth and Convex-Concave Saddle-Point Problems with Bilinear Coupling
NeurIPS 2022
Convergence Analysis of Linear Coupling with Inexact Proximal Operator
UAI 2022
Error Compensated Distributed SGD Can Be Accelerated
NeurIPS 2021
Optimization with Momentum: Dynamical, Control-Theoretic, and Symplectic Perspectives
JMLR 2021
Accelerating Gradient Boosting Machines
AISTATS 2020
An Accelerated DFO Algorithm for Finite-sum Convex Functions
ICML 2020
Locally Accelerated Conditional Gradients
AISTATS 2020
Anytime Online-to-Batch, Optimism and Acceleration
ICML 2019
Understanding and Accelerating Particle-Based Variational Inference
ICML 2019
Accelerating Greedy Coordinate Descent Methods
ICML 2018
Online Adaptive Methods, Universality and Acceleration
NeurIPS 2018
On Matching Pursuit and Coordinate Descent
ICML 2018
Distributed Accelerated Proximal Coordinate Gradient Methods
IJCAI 2017
Accelerating Stochastic Composition Optimization
NeurIPS 2016
A Simple Practical Accelerated Method for Finite Sums
NeurIPS 2016