Bayesian Model-Agnostic Meta-Learning

Jaesik Yoon, Taesup Kim, Ousmane Dia, Sungwoong Kim, Yoshua Bengio, Sungjin Ahn

Nov-20-2025, 20:44:06 GMT–Neural Information Processing Systems

Remaining a gradient-based method, it is also the first Bayesian model-agnostic meta-learning method applicable to various tasks including reinforcement learning.

artificial intelligence, bayesian inference, machine learning, (16 more...)

Neural Information Processing Systems

Nov-20-2025, 20:44:06 GMT

Conferences PDF

Country:
- North America
  - Canada > Quebec
    - Montreal (0.04)
  - United States > Massachusetts (0.04)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning
    - Learning Graphical Models > Directed Networks
      - Bayesian Learning (1.00)
    - Statistical Learning (1.00)
  - Representation & Reasoning > Uncertainty
    - Bayesian Inference (1.00)

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