1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
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…
Validating Weak-form Market Efficiency in United States Stock Markets with Trend Deterministic Price Data and Machine Learning
Samuel Showalter, Jeffrey Gropp
The Efficient Market Hypothesis has been a staple of economics research for decades. In particular, weak-form market efficiency -- the notion that past prices cannot predict future…
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…