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priors

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learning rate (1) bayesian prior (1) vapnik-chervonenkis dimension (1) adaptive (1) bayesian (1) long-tailed (1) empirical convexity (1) tsybakov's conditions (1) bounded sample sizes (1) expected accuracy (1)

Papers

AdaPrior: Bayesian-Inspired Adaptive Prior Correction for Long-Tailed Continual Learning CVPR 2026 Learning Multimodal Latent Generative Models with Energy-Based Prior ECCV 2024 Bayesian Hierarchical Reinforcement Learning NeurIPS 2012 Identifiability of Priors from Bounded Sample Sizes with Applications to Transfer Learning COLT 2011 Safe Learning: bridging the gap between Bayes, MDL and statistical learning theory via empirical convexity COLT 2011