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cs.LG2025
Fused Lasso Improves Accuracy of Co-occurrence Network Inference in Grouped Samples
Daniel Agyapong, Briana H. Beatty, Peter G. Kennedy +2
Co-occurrence network inference algorithms have significantly advanced our understanding of microbiome communities. However, these algorithms typically analyze microbial associatio…
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…
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…