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Additive models

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TitleStatusHype
Stability selection for component-wise gradient boosting in multiple dimensionsCode0
Nonparametric Regression with Adaptive Truncation via a Convex Hierarchical Penalty—0
Saturating Splines and Feature Selection—0
Algorithms for Learning Sparse Additive Models with Interactions in High Dimensions—0
Chained Gaussian ProcessesCode0
Learning Sparse Additive Models with Interactions in High Dimensions—0
Additive Approximations in High Dimensional Nonparametric Regression via the SALSACode0
Electricity Demand Forecasting by Multi-Task Learning—0
Hamiltonian Monte Carlo Acceleration Using Surrogate Functions with Random BasesCode0
Generalized Additive Model Selection—0
Multi-task additive models with shared transfer functions based on dictionary learning—0
Kernel Meets Sieve: Post-Regularization Confidence Bands for Sparse Additive Model—0
Minimax Optimal Rates of Estimation in High Dimensional Additive Models: Universal Phase Transition—0
High Dimensional Bayesian Optimisation and Bandits via Additive Models—0
Efficient Sampling for Learning Sparse Additive Models in High Dimensions—0
Bus Travel Time Predictions Using Additive Models—0
Faithful Variable Screening for High-Dimensional Convex Regression—0
Sparse Partially Linear Additive ModelsCode0
Learning rates for the risk of kernel based quantile regression estimators in additive models—0
Estimating complex causal effects from incomplete observational data—0
Feature Augmentation via Nonparametrics and Selection (FANS) in High Dimensional Classification—0
CAM: Causal additive models, high-dimensional order search and penalized regression—0
Dependence Measure for non-additive model—0
Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting—0
Additive Gaussian ProcessesCode0
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