PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees

13 Feb 2020Jonas RothfussVincent FortuinAndreas Krause

Meta-learning can successfully acquire useful inductive biases from data, especially when a large number of meta-tasks are available. Yet, its generalization properties to unseen tasks are poorly understood... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.