{"total":18,"rows":[{"id":"2209.08307","title":"A review of predictive uncertainty estimation with machine learning","created":"2022-09-17","cited_by_count":29,"area":null},{"id":"2201.11931","title":"Fast Interpretable Greedy-Tree Sums","created":"2022-01-28","cited_by_count":13,"area":null},{"id":"2202.04912","title":"Random Forest Weighted Local Fr\\'echet Regression with Random Objects","created":"2022-02-10","cited_by_count":12,"area":null},{"id":"2206.08998","title":"A review of machine learning concepts and methods for addressing challenges in probabilistic hydrological post-processing and forecasting","created":"2022-06-17","cited_by_count":12,"area":null},{"id":"2110.09626","title":"A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds","created":"2021-10-18","cited_by_count":9,"area":null},{"id":"2310.09702","title":"Inference with Mondrian Random Forests","created":"2023-10-15","cited_by_count":6,"area":null},{"id":"2103.05092","title":"Forest Guided Smoothing","created":"2021-03-08","cited_by_count":3,"area":null},{"id":"2509.23127","title":"Statistical Inference for Gradient Boosting Regression","created":"2025-09-27","cited_by_count":2,"area":null},{"id":"2106.11640","title":"Discovering Heterogeneous Treatment Effects in Regression Discontinuity Designs","created":"2021-06-22","cited_by_count":1,"area":null},{"id":"2509.05775","title":"Causal Clustering for Conditional Average Treatment Effects Estimation and Subgroup Discovery","created":"2025-09-06","cited_by_count":1,"area":null},{"id":"2106.05536","title":"An Interpretable Neural Network for Parameter Inference","created":"2021-06-10","cited_by_count":0,"area":null},{"id":"2110.09333","title":"Regression with Missing Data, a Comparison Study of TechniquesBased on Random Forests","created":"2021-10-18","cited_by_count":0,"area":null},{"id":"2111.15320","title":"Modelling hetegeneous treatment effects by quantitle local polynomial decision tree and forest","created":"2021-11-30","cited_by_count":0,"area":null},{"id":"2203.03032","title":"Weighted-average quantile regression","created":"2022-03-06","cited_by_count":0,"area":null},{"id":"2306.11908","title":"Generalized Random Forests using Fixed-Point Trees","created":"2023-06-20","cited_by_count":0,"area":null},{"id":"2410.05597","title":"SMART: A Flexible Approach to Regression using Spline-Based Multivariate Adaptive Regression Trees","created":"2024-10-08","cited_by_count":0,"area":null},{"id":"2505.06852","title":"Improving Random Forests by Smoothing","created":"2025-05-11","cited_by_count":0,"area":null},{"id":"2505.12444","title":"High-Dimensional Dynamic Covariance Models with Random Forests","created":"2025-05-18","cited_by_count":0,"area":null}],"next_cursor":null}