Efficient Sampling for Learning Sparse Additive Models in High Dimensions
–Neural Information Processing Systems
We consider the problem of learning sparse additive models, i.e., functions of the form: f(x) =
Neural Information Processing Systems
Mar-13-2024, 08:00:33 GMT