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09/15/2023
Estimation of Counterfactual Interventions under Uncertainties
Counterfactual analysis is intuitively performed by humans on a daily ba...
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10/21/2022
Validation of Composite Systems by Discrepancy Propagation
Assessing the validity of a real-world system with respect to given qual...
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06/17/2020
Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes
We propose a novel scheme for fitting heavily parameterized non-linear s...
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06/03/2019
Bayesian Prior Networks with PAC Training
We propose to train Bayesian Neural Networks (BNNs) by empirical Bayes a...
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10/29/2018
Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds
Gaussian Processes (GPs) are a generic modelling tool for supervised lea...
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11/28/2010