Stochastic Gradient Descent for Gaussian Processes Done Right.
Jihao Andreas LinShreyas PadhyJavier AntoránAustin TrippAlexander TereninCsaba SzepesváriJosé Miguel Hernández-LobatoDavid JanzPublished in: ICLR (2024)
Keyphrases
- gaussian processes
- stochastic gradient descent
- gaussian process
- least squares
- matrix factorization
- loss function
- regularization parameter
- hyperparameters
- random forests
- multiple kernel learning
- multi task
- support vector machine
- closed form
- em algorithm
- model selection
- regression model
- cross validation
- random sampling
- semi supervised
- multi class