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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
Monotonic Neural Additive Models: Pursuing Regulated Machine Learning Models for Credit Scoring—0
Generalized Groves of Neural Additive Models: Pursuing transparent and accurate machine learning models in finance—0
A review of predictive uncertainty estimation with machine learning—0
Regression modelling of spatiotemporal extreme U.S. wildfires via partially-interpretable neural networksCode0
Boosting with copula-based components—0
An Additive Instance-Wise Approach to Multi-class Model InterpretationCode0
Using generalized additive models to decompose time series and waveforms, and dissect heart-lung interaction physiologyCode0
Bayesian NVH metamodels to assess interior cabin noise using measurement databases—0
Neural Additive Models for Nowcasting—0
The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional Statistics—0
DDAC-SpAM: A Distributed Algorithm for Fitting High-dimensional Sparse Additive Models with Feature Division and Decorrelation—0
KASAM: Spline Additive Models for Function ApproximationCode0
A One-Covariate-at-a-Time Method for Nonparametric Additive Models—0
High-Resolution Peak Demand Estimation Using Generalized Additive Models and Deep Neural Networks—0
Covariate-Balancing-Aware Interpretable Deep Learning models for Treatment Effect Estimation—0
Data-Efficient and Interpretable Tabular Anomaly Detection—0
Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity—0
Language Models Explain Word Reading Times Better Than Empirical Predictability—0
Extending the Use of MDL for High-Dimensional Problems: Variable Selection, Robust Fitting, and Additive Modeling—0
Data fission: splitting a single data point—0
Daily peak electrical load forecasting with a multi-resolution approach—0
SHRIMP: Sparser Random Feature Models via Iterative Magnitude PruningCode0
Fast Training Method for Stochastic Compositional Optimization Problems—0
Hierarchical transfer learning with applications for electricity load forecastingCode0
Cyber Risk Frequency, Severity and Insurance Viability—0
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