Publications associées à Is there an analog of Nesterov acceleration for gradient-based MCMC?

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Robust Generalization via $\alpha$-Mutual Information

Michael Christoph Gastpar, Amedeo Roberto Esposito, Ibrahim Issa

The aim of this work is to provide bounds connecting two probability measures of the same event using Rényi

\alpha

-Divergences and Sibson’s

\alpha

-Mutual Information, a generalization of respectively the Kullback-Leibler Divergence and Shannon’s Mutual ...

ETHZ2020

Is there an analog of Nesterov acceleration for gradient-based MCMC?

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Spatiotemporal energy-density distribution of time-reversed electromagnetic fields

On the Double Descent of Random Features Models Trained with SGD

Lower-bounds on the Bayesian Risk in Estimation Procedures via f–Divergences

Hidden-nucleons neural-network quantum states for the nuclear many-body problem

Generalization Error Bounds Via Rényi-, f-Divergences and Maximal Leakage

Locally Differentially-Private Randomized Response for Discrete Distribution Learning

Robust Generalization via $\alpha$-Mutual Information

Robust Generalization via f−Mutual Information

Collaborative Sampling in Generative Adversarial Networks

Multi-armed Bandits in Action

Hidden-nucleons neural-network quantum states for the nuclear many-body problem

Lower-bounds on the Bayesian Risk in Estimation Procedures via f–Divergences

On the Double Descent of Random Features Models Trained with SGD

Generalization Error Bounds Via Rényi-, f-Divergences and Maximal Leakage

Locally Differentially-Private Randomized Response for Discrete Distribution Learning

Spatiotemporal energy-density distribution of time-reversed electromagnetic fields

Collaborative Sampling in Generative Adversarial Networks

Robust Generalization via $\alpha$-Mutual Information

Robust Generalization via f−Mutual Information

Multi-armed Bandits in Action