Samuel Power

According to our database, Samuel Power authored at least 5 papers between 2024 and 2025.

Collaborative distances:

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

2025

Big Batch Bayesian Active Learning by Considering Predictive Probabilities.

Sebastian W. Ober, Samuel Power, Tom Diethe, Henry B. Moss

CoRR, January, 2025

Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities.

Rocco Caprio, Juan Kuntz, Samuel Power, Adam M. Johansen

J. Mach. Learn. Res., 2025

Prediction-Centric Uncertainty Quantification via MMD.

Zheyang Shen, Jeremias Knoblauch, Samuel Power, Chris J. Oates

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Momentum Particle Maximum Likelihood.

Jen Ning Lim, Juan Kuntz, Samuel Power, Adam M. Johansen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Bivariate Causal Discovery using Bayesian Model Selection.

Anish Dhir, Samuel Power, Mark van der Wilk

Proceedings of the Forty-first International Conference on Machine Learning, 2024