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TitleStatusHype
Tree-Structured Boosting: Connections Between Gradient Boosted Stumps and Full Decision Trees—0
Combinations of distributional regression algorithms with application in uncertainty estimation of corrected satellite precipitation products—0
Estimation and Uniform Inference in Sparse High-Dimensional Additive Models—0
Detecting of multi-modality in probabilistic regression models—0
Use of Prior Knowledge to Discover Causal Additive Models with Unobserved Variables and its Application to Time Series Data—0
Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age—0
A Bayesian Approach for Predicting Food and Beverage Sales in Staff Canteens and Restaurants—0
Wavelet regression and additive models for irregularly spaced data—0
Accelerated Componentwise Gradient Boosting using Efficient Data Representation and Momentum-based Optimization—0
Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting—0
Adaptive Methods for Short-Term Electricity Load Forecasting During COVID-19 Lockdown in France—0
Additive Component Analysis—0
Additive Models with Trend Filtering—0
Additive Poisson Process: Learning Intensity of Higher-Order Interaction in Stochastic Processes—0
Additive Poisson Process: Learning Intensity of Higher-Order Interaction in Poisson Processes—0
Algorithms for Learning Sparse Additive Models with Interactions in High Dimensions—0
Analyzing privacy-aware mobility behavior using the evolution of spatio-temporal entropy—0
An Optimized Franz-Parisi Criterion and its Equivalence with SQ Lower Bounds—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 One-Covariate-at-a-Time Method for Nonparametric Additive Models—0
Approximately Bayes-Optimal Pseudo Label Selection—0
Are Logistic Models Really Interpretable?—0
A review of predictive uncertainty estimation with machine learning—0
Associations between exposure to OPEs and rheumatoid arthritis risk among adults in NHANES, 2011-2018—0
Automated Demand Forecasting in small to medium-sized enterprises—0
AutoML Algorithms for Online Generalized Additive Model Selection: Application to Electricity Demand Forecasting—0
bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond)—0
Towards Bayesian Data Selection—0
Bayesian NVH metamodels to assess interior cabin noise using measurement databases—0
Boosting Causal Additive Models—0
Bus Travel Time Predictions Using Additive Models—0
CAM: Causal additive models, high-dimensional order search and penalized regression—0
Fallopian tube anatomy predicts pregnancy and pregnancy outcomes after tubal reversal surgery—0
Causal Additive Models with Unobserved Causal Paths and Backdoor Paths—0
Causal Discovery with Score Matching on Additive Models with Arbitrary Noise—0
Challenges in interpretability of additive models—0
Classification by sparse generalized additive models—0
Closed-Form Expressions for Global and Local Interpretation of Tsetlin Machines with Applications to Explaining High-Dimensional Data—0
Comparing Lexical Usage in Political Discourse across Diachronic Corpora—0
Concept-based Explainable Malignancy Scoring on Pulmonary Nodules in CT Images—0
Context-aware feature attribution through argumentation—0
Convex-constrained Sparse Additive Modeling and Its Extensions—0
Boosting with copula-based components—0
Covariate-Balancing-Aware Interpretable Deep Learning models for Treatment Effect Estimation—0
Cyber Risk Frequency, Severity and Insurance Viability—0
Daily peak electrical load forecasting with a multi-resolution approach—0
Data fission: splitting a single data point—0
Data-Efficient and Interpretable Tabular Anomaly Detection—0
Dependence Measure for non-additive model—0
Detecting Nonlinear Causality in Multivariate Time Series with Sparse Additive Models—0
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