Co-occurring keywords · papers mentioning both
Papers
Explicit and Implicit Graduated Optimization in Deep Neural Networks
AAAI 2025
In-Context Learning State Vector with Inner and Momentum Optimization
NeurIPS 2024
MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts
NeurIPS 2024
On the Hyperparameters in Stochastic Gradient Descent with Momentum
JMLR 2024
Quantitative Convergences of Lie Group Momentum Optimizers
NeurIPS 2024
Bidirectional Looking with A Novel Double Exponential Moving Average to Adaptive and Non-adaptive Momentum Optimizers
ICML 2023
Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions
ICML 2023
Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning
ICML 2023
On the Global Optimum Convergence of Momentum-based Policy Gradient
AISTATS 2022
Provable Acceleration of Heavy Ball beyond Quadratics for a Class of Polyak-Lojasiewicz Functions when the Non-Convexity is Averaged-Out
ICML 2022