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Eli Bingham

2 accepted papers

2024

Automated Efficient Estimation using Monte Carlo Efficient Influence Functions

NeurIPS 2024spotlight

Many practical problems involve estimating low dimensional statistical quantities with high-dimensional models and datasets. Several approaches address these estimation tasks based on the theory of influence functions, such as debiased/double ML or targeted minimum loss estimation. We introduce \tex…

Cited by 3SourcePDFScholar
2019

Tensor Variable Elimination for Plated Factor Graphs

ICML 2019oral

A wide class of machine learning algorithms can be reduced to variable elimination on factor graphs. While factor graphs provide a unifying notation for these algorithms, they do not provide a compact way to express repeated structure when compared to plate diagrams for directed graphical models. To…