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Additive models

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TitleStatusHype
Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon SetCode0
ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular LearningCode0
Nowcasting the 2022 mpox outbreak in EnglandCode0
Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive ModelsCode0
NeurCAM: Interpretable Neural Clustering via Additive ModelsCode0
Additive Approximations in High Dimensional Nonparametric Regression via the SALSACode0
A Factored Generalized Additive Model for Clinical Decision Support in the Operating RoomCode0
Transparent Networks for Multivariate Time SeriesCode0
Approximation and Learning with Deep Convolutional Models: a Kernel PerspectiveCode0
Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive ModelsCode0
Chained Gaussian ProcessesCode0
Modeling non-linear Effects with Neural Networks in Relational Event ModelsCode0
Multi-Level Additive Modeling for Structured Non-IID Federated LearningCode0
Additive Gaussian ProcessesCode0
Considerations When Learning Additive Explanations for Black-Box ModelsCode0
Exploring and Interacting with the Set of Good Sparse Generalized Additive ModelsCode0
KASAM: Spline Additive Models for Function ApproximationCode0
Can local explanation techniques explain linear additive models?Code0
Individualized and Global Feature Attributions for Gradient Boosted Trees in the Presence of _2 RegularizationCode0
Interpretable Generalized Additive Models for Datasets with Missing ValuesCode0
Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty QuantificationCode0
How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors?Code0
How Your Location Relates to Health: Variable Importance and Interpretable Machine Learning for Environmental and Sociodemographic DataCode0
An Additive Instance-Wise Approach to Multi-class Model InterpretationCode0
Do Not Trust Additive ExplanationsCode0
Efficient mid-term forecasting of hourly electricity load using generalized additive modelsCode0
DNAMite: Interpretable Calibrated Survival Analysis with Discretized Additive ModelsCode0
Axiomatic Interpretability for Multiclass Additive ModelsCode0
Benchmarking time series classification -- Functional data vs machine learning approachesCode0
Hierarchical transfer learning with applications for electricity load forecastingCode0
Generalized Minkowski sets for the regularization of inverse problemsCode0
Improving Neural Additive Models with Bayesian PrinciplesCode0
Grounding learning of modifier dynamics: An application to color namingCode0
FocusLearn: Fully-Interpretable, High-Performance Modular Neural Networks for Time SeriesCode0
A cautionary tale on fitting decision trees to data from additive models: generalization lower boundsCode0
Gaussian Process Neural Additive ModelsCode0
Hamiltonian Monte Carlo Acceleration Using Surrogate Functions with Random BasesCode0
neuralGAM: Explainable generalized additive neural networks with independent neural network trainingCode0
Challenging the Performance-Interpretability Trade-off: An Evaluation of Interpretable Machine Learning ModelsCode0
Higher-order Neural Additive Models: An Interpretable Machine Learning Model with Feature InteractionsCode0
Flexible, Non-parametric Modeling Using Regularized Neural NetworksCode0
Forecasting time series with constraintsCode0
Robust Aggregation for Federated LearningCode0
Performance evaluation and hyperparameter tuning of statistical and machine-learning models using spatial dataCode0
Dependence Measure for non-additive model—0
bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond)—0
AutoML Algorithms for Online Generalized Additive Model Selection: Application to Electricity Demand Forecasting—0
Data-Efficient and Interpretable Tabular Anomaly Detection—0
Data fission: splitting a single data point—0
Daily peak electrical load forecasting with a multi-resolution approach—0
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