Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model.
Shunsuke HoriiYoichi ChikaharaPublished in: CoRR (2023)
Keyphrases
- gaussian process
- linear model
- regression model
- gaussian processes
- semi parametric
- linear models
- gaussian process regression
- approximate inference
- model selection
- gaussian process classification
- least squares
- gaussian process models
- nonlinear models
- bayesian framework
- expectation propagation
- covariance function
- sparse approximations
- parameter estimation
- hyperparameters
- computer vision
- density estimation
- latent variables
- prior knowledge
- training set