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Additive models

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TitleStatusHype
Pseudo Label Selection is a Decision Problem—0
Can local explanation techniques explain linear additive models?Code0
Improving Neural Additive Models with Bayesian PrinciplesCode0
Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive ModelsCode0
Representing Additive Gaussian Processes by Sparse Matrices—0
How to address monotonicity for model risk management?—0
The Structurally Complex with Additive Parent Causality (SCARY) DatasetCode0
Minimax Signal Detection in Sparse Additive Models—0
Causal Discovery with Score Matching on Additive Models with Arbitrary Noise—0
Exploring and Interacting with the Set of Good Sparse Generalized Additive ModelsCode0
Interpretable Reinforcement Learning via Neural Additive Models for Inventory Management—0
Nowcasting the 2022 mpox outbreak in EnglandCode0
Approximately Bayes-Optimal Pseudo Label Selection—0
Frugal day-ahead forecasting of multiple local electricity loads by aggregating adaptive 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
Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection—0
Classification by sparse generalized additive models—0
Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty QuantificationCode0
Estimating Discontinuous Time-Varying Risk Factors and Treatment Benefits for COVID-19 with Interpretable ML—0
Rethinking Log Odds: Linear Probability Modelling and Expert Advice in Interpretable Machine Learning—0
Individualized and Global Feature Attributions for Gradient Boosted Trees in the Presence of _2 RegularizationCode0
The Projected Covariance Measure for assumption-lean variable significance testingCode0
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach—0
Short-term prediction of stream turbidity using surrogate data and a meta-model approach—0
Higher-order Neural Additive Models: An Interpretable Machine Learning Model with Feature InteractionsCode0
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