Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients.
Caio PeixotoYuri F. SaporitoYuri R. FonsecaPublished in: CoRR (2024)
Keyphrases
- nonparametric regression
- simple linear
- regression model
- data driven
- linear regression
- regression problems
- regression algorithm
- stochastic model
- bayesian modeling
- polynomial regression
- stochastic optimization
- learning automata
- reproducing kernel hilbert space
- partial least squares
- image sequences
- gaussian processes
- monte carlo
- hidden markov models
- support vector
- genetic programming
- regression methods
- target variable
- objective function
- bayesian networks