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20162023
most citedThe physics of higher-order interactions in complex systems

938 citations

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5 papers · 1 filter

stat.ML20232 cited

Wasserstein PAC-Bayes Learning: Exploiting Optimisation Guarantees to Explain Generalisation

Maxime Haddouche, Benjamin Guedj

PAC-Bayes learning is an established framework to both assess the generalisation ability of learning algorithms, and design new learning algorithm by exploiting generalisation boun…

stat.ML2022

Measuring dissimilarity with diffeomorphism invariance

Théophile Cantelobre, Carlo Ciliberto, Benjamin Guedj +1

Measures of similarity (or dissimilarity) are a key ingredient to many machine learning algorithms. We introduce DID, a pairwise dissimilarity measure applicable to a wide range of…

stat.ML202110 cited

Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms

Alexander Camuto, George Deligiannidis, Murat A. Erdogdu +3

Understanding generalization in deep learning has been one of the major challenges in statistical learning theory over the last decade. While recent work has illustrated that the d…

stat.ML20191 cited

Private Protocols for U-Statistics in the Local Model and Beyond

James Bell, Aurélien Bellet, Adrià Gascón +1

In this paper, we study the problem of computing -statistics of degree , i.e., quantities that come in the form of averages over pairs of data points, in the local model of d…

stat.ML2017115 cited

Grammar Variational Autoencoder

Matt J. Kusner, Brooks Paige, José Miguel Hernández-Lobato

Deep generative models have been wildly successful at learning coherent latent representations for continuous data such as video and audio. However, generative modeling of discrete…