3 papers
stat.AP2026
Beyond Expected Goals: A Probabilistic Framework for Shot Occurrences in Soccer
Jonathan Pipping-Gamón, Tianshu Feng, R. Paul Sabin
Expected goals (xG) models estimate the probability that a shot results in a goal from its context (e.g., location, pressure), but they operate only on observed shots. We propose x…
q-bio.QM2024
Variational and Explanatory Neural Networks for Encoding Cancer Profiles and Predicting Drug Responses
Tianshu Feng, Rohan Gnanaolivu, Abolfazl Safikhani +7
Human cancers present a significant public health challenge and require the discovery of novel drugs through translational research. Transcriptomics profiling data that describes m…
stat.ML2024
Nonparametric Automatic Differentiation Variational Inference with Spline Approximation
Yuda Shao, Shan Yu, Tianshu Feng
Automatic Differentiation Variational Inference (ADVI) is efficient in learning probabilistic models. Classic ADVI relies on the parametric approach to approximate the posterior. I…