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cs.LG2023
Bayesian Online Learning for Consensus Prediction
Sam Showalter, Alex Boyd, Padhraic Smyth +1
Given a pre-trained classifier and multiple human experts, we investigate the task of online classification where model predictions are provided for free but querying humans incurs…
cs.LG2022
Predictive Querying for Autoregressive Neural Sequence Models
Alex Boyd, Sam Showalter, Stephan Mandt +1
In reasoning about sequential events it is natural to pose probabilistic queries such as "when will event A occur next" or "what is the probability of A occurring before B", with a…
cs.LG2019
Minimizing the Societal Cost of Credit Card Fraud with Limited and Imbalanced Data
Samuel Showalter, Zhixin Wu
Machine learning has automated much of financial fraud detection, notifying firms of, or even blocking, questionable transactions instantly. However, data imbalance starves traditi…