2 papers
stat.ME2024
Post-selection inference for quantifying uncertainty in changes in variance
Rachel Carrington, Paul Fearnhead
Quantifying uncertainty in detected changepoints is an important problem. However it is challenging as the naive approach would use the data twice, first to detect the changes, and…
stat.ML2019
Invariance and identifiability issues for word embeddings
Rachel Carrington, Karthik Bharath, Simon Preston
Word embeddings are commonly obtained as optimizers of a criterion function of a text corpus, but assessed on word-task performance using a different evaluation function of…