Publications associées à On the influence of momentum acceleration on online learning

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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

On the influence of momentum acceleration on online learning

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Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear Networks

On the Generalization of Stochastic Gradient Descent with Momentum

Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization

UNDERGRAD: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees

STORM+: Fully Adaptive SGD with Momentum for Nonconvex Optimization

Increasing Superstructure Optimization Capacity Through Self-Learning Surrogate Models

Tomographic reconstruction of the runaway distribution function in TCV using multispectral synchrotron images

Computational Inverse Design of Surface-based Inflatables

Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent

Momentum space CFT correlators for Hamiltonian truncation

On the Generalization of Stochastic Gradient Descent with Momentum

STORM+: Fully Adaptive SGD with Momentum for Nonconvex Optimization

UNDERGRAD: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees

Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear Networks

Increasing Superstructure Optimization Capacity Through Self-Learning Surrogate Models

Tomographic reconstruction of the runaway distribution function in TCV using multispectral synchrotron images

Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent

Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization

Computational Inverse Design of Surface-based Inflatables

Momentum space CFT correlators for Hamiltonian truncation