1 citations · 1 across the 7 of their papers we have counts for
7 papers
A probabilistic framework for online test-time adaptation
Daniel Corrales, David Ríos Insua
This paper presents a probabilistic framework for online test-time adaptation problems. In them, a model is trained on labeled data but must adapt to unlabeled data at test time un…
Shrinkage through multiple identifiability
Carlos García Meixide, David Ríos Insua
We propose an empirical Bayes framework for combining estimators obtained from multiple identification functionals associated with the same estimand. We adaptively pool a collectio…
A unifying Bayesian framework for adversarial robustness
Pablo G. Arce, Roi Naveiro, David Ríos Insua
The vulnerability of machine learning models to adversarial attacks remains a critical societal security challenge. Traditional defenses, such as adversarial training, typically ro…
Predictive posteriors under hidden confounding
Carlos García Meixide, David Ríos Insua
Predicting outcomes in external domains is challenging due to hidden confounders that potentially influence both predictors and outcomes. Well-established methods frequently rely o…
Evasion Attacks Against Bayesian Predictive Models
Pablo G. Arce, Roi Naveiro, David Ríos Insua
There is an increasing interest in analyzing the behavior of machine learning systems against adversarial attacks. However, most of the research in adversarial machine learning has…
Optimal product launch in uncertain competitive markets: A multi-agent adversarial risk analysis framework
Pablo G. Arce, Sonali Das, David Ríos Insua
Product launching is a nuanced problem that entails choosing numerous decision variables, including timing, pricing, quality, and marketing strategy. Furthermore, decision-makers m…
A decision analysis model for colorectal cancer screening
Daniel Corrales, David Ríos Insua, Marino J. González
Background and Objective. With minor differences, most national colorectal cancer (CRC) screening programs in Europe consist of one-size-fits-all aged-based strategies. This paper…