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Papers
Fast and Large-Scale Unbalanced Optimal Transport via its Semi-Dual and Adaptive Gradient Methods
COLT 2026
Gradient correlation is a key ingredient to accelerate SGD with momentum
ICLR 2025
Nesterov Method for Asynchronous Pipeline Parallel Optimization
ICML 2025
Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks
NeurIPS 2024
Provable Acceleration of Nesterov’s Accelerated Gradient Method over Heavy Ball Method in Training Over-Parameterized Neural Networks
IJCAI 2024
A Variational Perspective on High-Resolution ODEs
NeurIPS 2023
Convex and Non-convex Optimization Under Generalized Smoothness
NeurIPS 2023
Hessian-Free High-Resolution Nesterov Acceleration For Sampling
ICML 2022
Improving Neural Ordinary Differential Equations with Nesterov's Accelerated Gradient Method
NeurIPS 2022
Nesterov Accelerated Shuffling Gradient Method for Convex Optimization
ICML 2022
On Almost Sure Convergence Rates of Stochastic Gradient Methods
COLT 2022
Continuous Time Analysis of Momentum Methods
JMLR 2021
Stochastic Modified Equations and Dynamics of Stochastic Gradient Algorithms I: Mathematical Foundations
JMLR 2019
Understanding the Role of Momentum in Stochastic Gradient Methods
NeurIPS 2019
Optimal Algorithms for Smooth and Strongly Convex Distributed Optimization in Networks
ICML 2017
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights
JMLR 2016
Hybrid Accelerated Optimization for Speech Recognition
Interspeech 2016
Smoothing Multivariate Performance Measures
JMLR 2012