Formal Bayesian Transfer Learning via the Total Risk Prior

arXiv:2507.23768 · stat.ML, cs.LG · Submitted 2025-07-31 · Read on arXiv

stat.ML, cs.LG

Submitted: 2025-07-31

Updated: 2026-10-14

Code: https://github.com/NathanWycoff/bayes

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Transfer Learning — 43× in this paper · explained in 10 episodes
• Total Risk Prior — 9× in this paper
• Bayesian Inference — 4× in this paper · explained in 5 episodes
• Regularization — 4× in this paper · explained in 3 episodes
• Sparsity — 3× in this paper · explained in 4 episodes
• Uncertainty Quantification — 3× in this paper · explained in 8 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Actor — 1× in this paper · explained in 3 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Feature Selection — 1× in this paper · explained in 4 episodes
• Minimax optimality — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Singular Value Decomposition — 1× in this paper
• Singular Value Decomposition (SVD) — 1× in this paper · explained in 2 episodes

Sources

• A Bayesian shrinkage estimator for transfer learning
• Sampling the Bayesian Elastic Net
• Rao-Blackwellization in the MCMC era
• Bayesian Transfer Learning
• Covariate-Elaborated Robust Partial Information Transfer with Conditional Spike-and-Slab Prior

Related papers

• Behavior of prediction performance metrics with rare events
• Optimal Estimation of Generic Dynamics by Path-Dependent Neural Jump ODEs
• A Posterior-Dynamics Framework for Imaging Inverse Problems with Pretrained Diffusion Priors
• Efficient quadratic entropy with distance sketches
• Embedding-Bias in Conditional Independence Testing
• From Log-Odds to Shapley Values: An Explanatory Geometry for the Weighted Naive Bayes Classifier