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Additive models

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TitleStatusHype
Learning rates for the risk of kernel based quantile regression estimators in additive models—0
Learning Sparse Additive Models with Interactions in High Dimensions—0
Meta-learning Loss Functions of Parametric Partial Differential Equations Using Physics-Informed Neural Networks—0
Minimax Optimal Rates of Estimation in High Dimensional Additive Models: Universal Phase Transition—0
Minimax Signal Detection in Sparse Additive Models—0
Monotonicity for AI ethics and society: An empirical study of the monotonic neural additive model in criminology, education, health care, and finance—0
Monotonic Neural Additive Models: Pursuing Regulated Machine Learning Models for Credit Scoring—0
MT-NAM: An Efficient and Adaptive Model for Epileptic Seizure Detection—0
Multidimensional Shape Constraints—0
Multilevel Modeling with Structured Penalties for Classification from Imaging Genetics data—0
Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery—0
Multi-task additive models with shared transfer functions based on dictionary learning—0
Navigating the Rashomon Effect: How Personalization Can Help Adjust Interpretable Machine Learning Models to Individual Users—0
Neural Additive Image Model: Interpretation through Interpolation—0
Neural Additive Models for Nowcasting—0
neuralGAM: An R Package for Fitting Generalized Additive Neural Networks—0
Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability—0
Nighttime Light Intensity and Child Health Outcomes in Bangladesh—0
Nonparametric Greedy Algorithms for the Sparse Learning Problem—0
Nonparametric regression and classification with joint sparsity constraints—0
Nonparametric regression using deep neural networks with ReLU activation function—0
Nonparametric Regression with Adaptive Truncation via a Convex Hierarchical Penalty—0
Normative Cerebral Perfusion Across the Lifespan—0
Online Hierarchical Forecasting for Power Consumption Data—0
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach—0
Progression: an extrapolation principle for regression—0
Pseudo Label Selection is a Decision Problem—0
Quantifying Visual Properties of GAM Shape Plots: Impact on Perceived Cognitive Load and Interpretability—0
Recursive Identification of Structured Systems: An Instrumental-Variable Approach Applied to Mechanical Systems—0
Reluctant generalized additive modeling—0
Representing Additive Gaussian Processes by Sparse Matrices—0
Rethinking Log Odds: Linear Probability Modelling and Expert Advice in Interpretable Machine Learning—0
Saturating Splines and Feature Selection—0
Scalable GAM using sparse variational Gaussian processes—0
Short-term prediction of stream turbidity using surrogate data and a meta-model approach—0
Simulating Tariff Impact in Electrical Energy Consumption Profiles with Conditional Variational Autoencoders—0
Smoothed Bernstein Online Aggregation for Day-Ahead Electricity Demand Forecasting—0
Sparse Linear Isotonic Models—0
Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity—0
Sparse Shrunk Additive Models—0
Speech as a Biomarker for Disease Detection—0
Statistical Learnability of Generalized Additive Models based on Total Variation Regularization—0
Stochastic Gradient Descent for Nonparametric Regression—0
Tensor Polynomial Additive Model—0
LucidAtlas: Learning Uncertainty-Aware, Covariate-Disentangled, Individualized Atlas Representations—0
The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional Statistics—0
The Most Important Features in Generalized Additive Models Might Be Groups of Features—0
Theoretical Evaluation of Asymmetric Shapley Values for Root-Cause Analysis—0
The Partial Response Network: a neural network nomogram—0
On Training Survival Models with Scoring Rules—0
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