Samuel Showalter

According to our database, Samuel Showalter authored at least 5 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Bayesian Inference for Correlated Human Experts and Classifiers.

Markelle Kelly, Alex James Boyd, Samuel Showalter, Mark Steyvers, Padhraic Smyth

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Bayesian Online Learning for Consensus Prediction.

Samuel Showalter, Alex J. Boyd, Padhraic Smyth, Mark Steyvers

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2022

Predictive Querying for Autoregressive Neural Sequence Models.

Alex Boyd, Samuel Showalter, Stephan Mandt, Padhraic Smyth

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2019

Validating Weak-form Market Efficiency in United States Stock Markets with Trend Deterministic Price Data and Machine Learning.

Samuel Showalter, Jeffrey Gropp

CoRR, 2019

Minimizing the Societal Cost of Credit Card Fraud with Limited and Imbalanced Data.

Samuel Showalter, Zhixin Wu

CoRR, 2019