Publications associées à Epidemic Learning: Boosting Decentralized Learning with Randomized Communication

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Random sampling of bandlimited signals on graphs

Pierre Vandergheynst, Rémi Gribonval, Gilles Puy, Nicolas Tremblay

We study the problem of sampling

k

-bandlimited signals on graphs. We propose two sampling strategies that consist in selecting a small subset of nodes at random. The first strategy is non-adaptive, \ie, independent of the graph structure, and its perform ...

2015

Epidemic Learning: Boosting Decentralized Learning with Randomized Communication

Graph Chatbot

Chattez avec Graph Search

On the performance of random reshuffling in stochastic learning

MATHICSE Technical Report : Multilevel weighted least squares polynomial approximation

Multilevel weighted least squares polynomial approximation

Compressive Spectral Clustering

Attributing Aliasing Artifacts in Dirty Intensity Fields to their Parent Source

Inference for binomial probability based on dependent Bernoulli random variables with applications to meta-analysis and group level studies

Random sampling of bandlimited signals on graphs

Too much success for recent groundbreaking epigenetic experiments

Learning Ridge Functions With Randomized Sampling In High Dimensions

Network Design via Core Detouring for Problems Without a Core

Multilevel weighted least squares polynomial approximation

On the performance of random reshuffling in stochastic learning

MATHICSE Technical Report : Multilevel weighted least squares polynomial approximation

Compressive Spectral Clustering

Inference for binomial probability based on dependent Bernoulli random variables with applications to meta-analysis and group level studies

Attributing Aliasing Artifacts in Dirty Intensity Fields to their Parent Source

Network Design via Core Detouring for Problems Without a Core

Learning Ridge Functions With Randomized Sampling In High Dimensions

Too much success for recent groundbreaking epigenetic experiments

Random sampling of bandlimited signals on graphs