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Additive models

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TitleStatusHype
Convex-constrained Sparse Additive Modeling and Its Extensions—0
Boosting with copula-based components—0
Classification by sparse generalized additive models—0
Covariate-Balancing-Aware Interpretable Deep Learning models for Treatment Effect Estimation—0
Gradient-free stochastic optimization for additive models—0
Approximately Bayes-Optimal Pseudo Label Selection—0
Data fission: splitting a single data point—0
Data-Efficient and Interpretable Tabular Anomaly Detection—0
Challenges in interpretability of additive models—0
AutoML Algorithms for Online Generalized Additive Model Selection: Application to Electricity Demand Forecasting—0
Additive Models with Trend Filtering—0
Dependence Measure for non-additive model—0
Group selection and shrinkage: Structured sparsity for semiparametric additive models—0
A One-Covariate-at-a-Time Method for Nonparametric Additive Models—0
Causal Discovery with Score Matching on Additive Models with Arbitrary Noise—0
Adaptive Methods for Short-Term Electricity Load Forecasting During COVID-19 Lockdown in France—0
Causal Additive Models with Unobserved Causal Paths and Backdoor Paths—0
A novel method to separate circadian from non-circadian masking effects in order to enhance daily circadian timing and amplitude estimation from core body temperature—0
A Bayesian Approach for Predicting Food and Beverage Sales in Staff Canteens and Restaurants—0
Generalized Sparse Additive Model with Unknown Link Function—0
Group Sparse Additive Machine—0
An Optimized Franz-Parisi Criterion and its Equivalence with SQ Lower Bounds—0
Estimating Discontinuous Time-Varying Risk Factors and Treatment Benefits for COVID-19 with Interpretable ML—0
Estimating complex causal effects from incomplete observational data—0
Fallopian tube anatomy predicts pregnancy and pregnancy outcomes after tubal reversal surgery—0
Analyzing privacy-aware mobility behavior using the evolution of spatio-temporal entropy—0
Explainable Automatic Grading with Neural Additive Models—0
Explainable Recommendation Systems by Generalized Additive Models with Manifest and Latent Interactions—0
CAM: Causal additive models, high-dimensional order search and penalized regression—0
Extending the Use of MDL for High-Dimensional Problems: Variable Selection, Robust Fitting, and Additive Modeling—0
Extracting Expert's Goals by What-if Interpretable Modeling—0
Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection—0
Faithful Variable Screening for High-Dimensional Convex Regression—0
FAST: An Optimization Framework for Fast Additive Segmentation in Transparent ML—0
Fast Automatic Smoothing for Generalized Additive Models—0
Enhancing CVaR portfolio optimisation performance with GAM factor models—0
Bus Travel Time Predictions Using Additive Models—0
Fast Training Method for Stochastic Compositional Optimization Problems—0
Fast Training Method for Stochastic Compositional Optimization Problems—0
Feature Augmentation via Nonparametrics and Selection (FANS) in High Dimensional Classification—0
Electricity Demand Forecasting by Multi-Task Learning—0
Are Logistic Models Really Interpretable?—0
Generalized Boosting—0
Frugal day-ahead forecasting of multiple local electricity loads by aggregating adaptive models—0
Functional additive models on manifolds of planar shapes and forms—0
Generalized Groves of Neural Additive Models: Pursuing transparent and accurate machine learning models in finance—0
Efficient Sampling for Learning Sparse Additive Models in High Dimensions—0
Boosting Causal Additive Models—0
GAMformer: In-Context Learning for Generalized Additive Models—0
Additive Component Analysis—0
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