When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting.
Harshavardhan KamarthiLingkai KongAlexander RodríguezChao ZhangB. Aditya PrakashPublished in: KDD (2023)
Keyphrases
- probabilistic model
- artificial neural networks
- data driven
- posterior probability
- bayesian networks
- generative model
- coarse to fine
- hierarchical bayesian
- probabilistic reasoning
- conditional probabilities
- prior information
- projection operator
- regularization parameter
- uncertain data
- point correspondences
- markov random field
- multiscale