most citedMultidimensional Item Response Theory in the Style of Collaborative Filtering

13 citations

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3 papers

stat.ML2023★ 13 cited

Multidimensional Item Response Theory in the Style of Collaborative Filtering

Yoav Bergner, Peter F. Halpin, Jill-Jênn Vie

This paper presents a machine learning approach to multidimensional item response theory (MIRT), a class of latent factor models that can be used to model and predict student perfo…

cs.LG2022★ 5 cited

Beyond calibration: estimating the grouping loss of modern neural networks

Alexandre Perez-Lebel, Marine Le Morvan, Gaël Varoquaux

The ability to ensure that a classifier gives reliable confidence scores is essential to ensure informed decision-making. To this end, recent work has focused on miscalibration, i.…

stat.ME2022★ 2 cited

Reweighting the RCT for generalization: finite sample error and variable selection

Bénédicte Colnet, Julie Josse, Gaël Varoquaux +1

Randomized Controlled Trials (RCTs) may suffer from limited scope. In particular, samples may be unrepresentative: some RCTs over- or under- sample individuals with certain charact…