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cs.LG2024
Finite Sample Complexity Analysis of Binary Segmentation
Toby Dylan Hocking
Binary segmentation is the classic greedy algorithm which recursively splits a sequential data set by optimizing some loss or likelihood function. Binary segmentation is widely use…
stat.ML2024
SOAK: Same/Other/All K-fold cross-validation for estimating similarity of patterns in data subsets
Toby Dylan Hocking, Gabrielle Thibault, Cameron Scott Bodine +3
In many real-world applications of machine learning, we are interested to know if it is possible to train on the data that we have gathered so far, and obtain accurate predictions…
cs.LG2024
Efficient line search for optimizing Area Under the ROC Curve in gradient descent
Jadon Fowler, Toby Dylan Hocking
Receiver Operating Characteristic (ROC) curves are useful for evaluation in binary classification and changepoint detection, but difficult to use for learning since the Area Under…