Deep model integrates multityped representations for multimodal objects.
arXiv research
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Introduces FairCOCCO for fair learning with multitype, multivariate sensitive attributes.
Strong stability of ergodic iterations proven without ergodic driving sequence.
We have developed a strategy for the analysis of newly available binary data to improve outcome predictions based on existing data (binary or non-binary). Our strategy involves two modeling approaches for the newly available data, one combining binary covariate selection via LASSO with logistic regression and one based…
Multivariate count data are defined as the number of items of different categories issued from sampling within a population, which individuals are grouped into categories. The analysis of multivariate count data is a recurrent and crucial issue in numerous modelling problems, particularly in the fields of biology and e…
Proposes a new method for fairness in machine learning with multiple protected attributes.