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Additive models

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Showing 101–150 of 252 papers

TitleStatusHype
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
Augmenting Interpretable Models with LLMs during TrainingCode1
Generalized Groves of Neural Additive Models: Pursuing transparent and accurate machine learning models in finance—0
Monotonic Neural Additive Models: Pursuing Regulated Machine Learning Models for Credit Scoring—0
A review of predictive uncertainty estimation with machine learning—0
From Shapley Values to Generalized Additive Models and backCode1
Regression modelling of spatiotemporal extreme U.S. wildfires via partially-interpretable neural networksCode0
Boosting with copula-based components—0
ControlBurn: Nonlinear Feature Selection with Sparse Tree EnsemblesCode1
An Additive Instance-Wise Approach to Multi-class Model InterpretationCode0
How trial-to-trial learning shapes mappings in the mental lexicon: Modelling Lexical Decision with Linear Discriminative LearningCode1
Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and ValuesCode5
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 Basis Models for InterpretabilityCode1
Scalable Interpretability via PolynomialsCode1
Deletion and Insertion Tests in Regression ModelsCode1
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
GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraintsCode5
Covariate-Balancing-Aware Interpretable Deep Learning models for Treatment Effect Estimation—0
High-Resolution Peak Demand Estimation Using Generalized Additive Models and Deep Neural Networks—0
Data-Efficient and Interpretable Tabular Anomaly Detection—0
Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity—0
Fast Sparse Classification for Generalized Linear and Additive ModelsCode1
Language Models Explain Word Reading Times Better Than Empirical Predictability—0
Fast Interpretable Greedy-Tree SumsCode1
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
GAM Changer: Editing Generalized Additive Models with Interactive VisualizationCode1
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
Extracting Expert's Goals by What-if Interpretable Modeling—0
Spike-and-Slab LASSO Generalized Additive Models and Scalable Algorithms for High-Dimensional Data AnalysisCode0
Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon SetCode0
A cautionary tale on fitting decision trees to data from additive models: generalization lower boundsCode0
Accelerated Componentwise Gradient Boosting using Efficient Data Representation and Momentum-based Optimization—0
Additive Poisson Process: Learning Intensity of Higher-Order Interaction in Poisson Processes—0
Huber Additive Models for Non-stationary Time Series Analysis—0
Functional additive models on manifolds of planar shapes and forms—0
Predicting Census Survey Response Rates With Parsimonious Additive Models and Structured InteractionsCode0
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