Publications associées à Risk, Unexpected Uncertainty, and Estimation Uncertainty: Bayesian Learning in Unstable Settings

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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

Risk, Unexpected Uncertainty, and Estimation Uncertainty: Bayesian Learning in Unstable Settings

Graph Chatbot

Chattez avec Graph Search

Surprise-based model estimation in reinforcement learning: algorithms and brain signatures

Learning in Volatile Environments With the Bayes Factor Surprise

MATHICSE Technical Report : A probabilistic finite element method based on random meshes: Error estimators and Bayesian inverse problems

Robust Generalization via $\alpha$-Mutual Information

Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation

Statistical Aspects of Wasserstein Distances

Quantifying Commitment in Nash Equilibria

Efficient Learning from Comparisons

A guideline for the validation of likelihood ratio methods used for forensic evidence evaluation

Great Balls of Fire: A probabilistic approach to quantify the hazard related to ballistics – A case study at La Fossa volcano, Vulcano Island, Italy

Learning in Volatile Environments With the Bayes Factor Surprise

Statistical Aspects of Wasserstein Distances

Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation

A guideline for the validation of likelihood ratio methods used for forensic evidence evaluation

Great Balls of Fire: A probabilistic approach to quantify the hazard related to ballistics – A case study at La Fossa volcano, Vulcano Island, Italy

Surprise-based model estimation in reinforcement learning: algorithms and brain signatures

MATHICSE Technical Report : A probabilistic finite element method based on random meshes: Error estimators and Bayesian inverse problems

Robust Generalization via $\alpha$-Mutual Information

Quantifying Commitment in Nash Equilibria

Efficient Learning from Comparisons