Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent.
Yiping LuJosé H. BlanchetLexing YingPublished in: NeurIPS (2022)
Keyphrases
- learning process
- learning algorithm
- active learning
- learning tasks
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- supervised learning
- reinforcement learning
- feature vectors
- optimal solution
- prior knowledge
- data sets
- cost function
- mobile robot
- unsupervised learning
- decision trees
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- information theoretic
- image processing
- learning scheme