Publications associées à Learning rate

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Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear Networks

Nicolas Henri Bernard Flammarion, Hristo Georgiev Papazov, Scott William Pesme

In this work, we investigate the effect of momentum on the optimisation trajectory of gradient descent. We leverage a continuous-time approach in the analysis of momentum gradient descent with step size

\gamma

and momentum parameter

\beta

that allows u ...

2024

Learning rate

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Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear Networks

Social Opinion Formation and Decision Making Under Communication Trends

Understanding generalization and robustness in modern deep learning

GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification

Enabling Uncertainty Estimation in Iterative Neural Networks

Phenomenological theory of variational quantum ground-state preparation

XTab: Cross-table Pretraining for Tabular Transformers

Text Representation Learning for Low Cost Natural Language Understanding

Universal and adaptive methods for robust stochastic optimization

The statistical complexity of early-stopped mirror descent

The statistical complexity of early-stopped mirror descent

Universal and adaptive methods for robust stochastic optimization

Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear Networks

Understanding generalization and robustness in modern deep learning

Enabling Uncertainty Estimation in Iterative Neural Networks

GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification

Text Representation Learning for Low Cost Natural Language Understanding

Social Opinion Formation and Decision Making Under Communication Trends

XTab: Cross-table Pretraining for Tabular Transformers

Phenomenological theory of variational quantum ground-state preparation