regression tree

Model Agreement via Anchoring COLT 2026 Probabilistic Verification of Neural Networks via Efficient Probabilistic Hull Generation UAI 2026 Piecewise Constant and Linear Regression Trees: An Optimal Dynamic Programming Approach ICML 2024 On the Consistency Rate of Decision Tree Learning Algorithms AISTATS 2023 Optimal Sparse Regression Trees AAAI 2023 Boulevard: Regularized Stochastic Gradient Boosted Trees and Their Limiting Distribution JMLR 2022 Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees NeurIPS 2022 Tree-Based Models for Correlated Data JMLR 2022 Tree-Values: Selective Inference for Regression Trees JMLR 2022 Bayesian Nonparametric Space Partitions: A Survey IJCAI 2021 Lattice partition recovery with dyadic CART NeurIPS 2021 Continuous-Time Birth-Death MCMC for Bayesian Regression Tree Models JMLR 2020 Estimation and Inference with Trees and Forests in High Dimensions COLT 2020 Optimizing Influenza Vaccine Composition: From Predictions to Prescriptions MLHC 2020 Smooth And Consistent Probabilistic Regression Trees NeurIPS 2020 Sparse Learning with CART NeurIPS 2020 Binary Space Partitioning Forest AISTATS 2019 Gradient Boosting with Piece-Wise Linear Regression Trees IJCAI 2019 Partitioning Structure Learning for Segmented Linear Regression Trees NeurIPS 2019 Rectangular Bounding Process NeurIPS 2018 Cost efficient gradient boosting NeurIPS 2017 DART: Dropouts meet Multiple Additive Regression Trees AISTATS 2015 Effective Learning-Based Illuminant Estimation Using Simple Features CVPR 2015 Face Alignment Using Cascade Gaussian Process Regression Trees CVPR 2015 partykit: A Modular Toolkit for Recursive Partytioning in R JMLR 2015