4 citations · 4 across the 2 of their papers we have counts for
2 papers
stat.ML2025
Empirical Bound Information-Directed Sampling for Norm-Agnostic Bandits
Piotr M. Suder, Eric Laber
Information-directed sampling (IDS) is a powerful framework for solving bandit problems which has shown strong results in both Bayesian and frequentist settings. However, frequenti…
stat.ML2023★ 4 cited
Bayesian Transfer Learning
Piotr M. Suder, Jason Xu, David B. Dunson
Transfer learning is a burgeoning concept in statistical machine learning that seeks to improve inference and/or predictive accuracy on a domain of interest by leveraging data from…