2 papers
cs.LG2025
Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities
Rocco Caprio, Juan Kuntz, Samuel Power +1
We prove non-asymptotic error bounds for particle gradient descent (PGD, Kuntz et al., 2023), a recently introduced algorithm for maximum likelihood estimation of large latent vari…
cs.LG2025
Big Batch Bayesian Active Learning by Considering Predictive Probabilities
Sebastian W. Ober, Samuel Power, Tom Diethe +1
We observe that BatchBALD, a popular acquisition function for batch Bayesian active learning for classification, can conflate epistemic and aleatoric uncertainty, leading to subopt…