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gregoire pacreau

2 accepted papers

2024

Neural Conditional Probability for Uncertainty Quantification

NeurIPS 2024poster

We introduce Neural Conditional Probability (NCP), an operator-theoretic approach to learning conditional distributions with a focus on statistical inference tasks. NCP can be used to build conditional confidence regions and extract key statistics such as conditional quantiles, mean, and covarianc…

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2023

Robust covariance estimation with missing values and cell-wise contamination

NeurIPS 2023poster

Large datasets are often affected by cell-wise outliers in the form of missing or erroneous data. However, discarding any samples containing outliers may result in a dataset that is too small to accurately estimate the covariance matrix. Moreover, the robust procedures designed to address this probl…