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Additive models

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TitleStatusHype
Nighttime Light Intensity and Child Health Outcomes in Bangladesh—0
Smoothed Bernstein Online Aggregation for Day-Ahead Electricity Demand Forecasting—0
Model compression as constrained optimization, with application to neural nets. Part V: combining compressionsCode0
Discovery of Causal Additive Models in the Presence of Unobserved Variables—0
NODE-GAM: Neural Generalized Additive Model for Interpretable Deep LearningCode1
Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial LearningCode0
Group selection and shrinkage: Structured sparsity for semiparametric additive models—0
Fast Training Method for Stochastic Compositional Optimization Problems—0
Detecting of multi-modality in probabilistic regression models—0
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges—0
Approximation and Learning with Deep Convolutional Models: a Kernel PerspectiveCode0
High-Dimensional Bayesian Optimization via Tree-Structured Additive ModelsCode1
Flexible, Non-parametric Modeling Using Regularized Neural NetworksCode0
Explainable Recommendation Systems by Generalized Additive Models with Manifest and Latent Interactions—0
Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery—0
Generalized Boosting—0
Deep Learning for Individual HeterogeneityCode0
Learning Joint Intensity in a Multivariate Poisson Process on Statistical Manifolds—0
How many images do I need? Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring—0
Interpretable Machine Learning with an Ensemble of Gradient Boosting MachinesCode1
Injury risk increases minimally over a large range of changes in activity level in children—0
Adaptive Methods for Short-Term Electricity Load Forecasting During COVID-19 Lockdown in France—0
Closed-Form Expressions for Global and Local Interpretation of Tsetlin Machines with Applications to Explaining High-Dimensional Data—0
Additive Poisson Process: Learning Intensity of Higher-Order Interaction in Stochastic Processes—0
How Interpretable and Trustworthy are GAMs?Code1
Simulating Tariff Impact in Electrical Energy Consumption Profiles with Conditional Variational Autoencoders—0
A Bayesian Approach for Predicting Food and Beverage Sales in Staff Canteens and Restaurants—0
Interpretable Learning-to-Rank with Generalized Additive Models—0
Comparing Lexical Usage in Political Discourse across Diachronic Corpora—0
Neural Additive Models: Interpretable Machine Learning with Neural NetsCode1
Estimation and Uniform Inference in Sparse High-Dimensional Additive Models—0
GAMI-Net: An Explainable Neural Network based on Generalized Additive Models with Structured InteractionsCode2
Online Hierarchical Forecasting for Power Consumption Data—0
Semi-Structured Distributional Regression -- Extending Structured Additive Models by Arbitrary Deep Neural Networks and Data ModalitiesCode1
Sparse Shrunk Additive Models—0
Multidimensional Shape Constraints—0
Robust Aggregation for Federated LearningCode0
Understanding complex predictive models with Ghost VariablesCode0
Reluctant generalized additive modeling—0
Benchmarking time series classification -- Functional data vs machine learning approachesCode0
Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive ModelsCode0
bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond)—0
InterpretML: A Unified Framework for Machine Learning InterpretabilityCode3
Grounding learning of modifier dynamics: An application to color namingCode0
The Partial Response Network: a neural network nomogram—0
A Factored Generalized Additive Model for Clinical Decision Support in the Operating RoomCode0
Analyzing privacy-aware mobility behavior using the evolution of spatio-temporal entropy—0
Fallopian tube anatomy predicts pregnancy and pregnancy outcomes after tubal reversal surgery—0
Do Not Trust Additive ExplanationsCode0
Wavelet regression and additive models for irregularly spaced data—0
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