Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data.

Yusuke Tanaka Tomoharu Iwata Naonori Ueda

Published in: NeurIPS (2022)

Keyphrases

gaussian processes
sparse data
learning algorithm
preference learning
prior knowledge
gaussian process
multi task learning
gaussian process regression
data mining
machine learning
learning process
missing data
learning problems
multi task
supervised learning
incremental learning