v1v2v3v4 (latest)

Iterative Random Forests to detect predictive and stable high-order interactions

26 June 2017

Papers citing "Iterative Random Forests to detect predictive and stable high-order interactions"

34 / 34 papers shown

Title
Local MDI+: Local Feature Importances for Tree-Based Models Zhongyuan Liang Zachary T. Rewolinski Abhineet Agarwal Tiffany M. Tang Bin Yu 25 0 0 10 Jun 2025
Statistical Learning for Heterogeneous Treatment Effects: Pretraining, Prognosis, and Prediction Maximilian Schuessler Erik Sverdrup Robert Tibshirani CML 90 0 0 01 May 2025
Error-controlled non-additive interaction discovery in machine learning models Winston Chen Yifan Jiang William Stafford Noble Yang Young Lu 136 1 0 17 Feb 2025
Information-Theoretic Guarantees for Recovering Low-Rank Tensors from Symmetric Rank-One Measurements Eren C. Kızıldağ 120 0 0 07 Feb 2025
Lessons from a human-in-the-loop machine learning approach for identifying vacant, abandoned, and deteriorated properties in Savannah, Georgia Xiaofan Liang Brian Brainerd Tara Hicks Clio Andris 34 0 0 15 Jul 2024
TrIM: Transformed Iterative Mondrian Forests for Gradient-based Dimension Reduction and High-Dimensional Regression Ricardo Baptista Eliza O'Reilly Yangxinyu Xie 94 2 0 13 Jul 2024
The Role of Depth, Width, and Tree Size in Expressiveness of Deep Forest Shen-Huan Lyu Jin-Hui Wu Qin-Cheng Zheng Baoliu Ye 97 0 0 06 Jul 2024
Towards Stable Machine Learning Model Retraining via Slowly Varying Sequences Dimitris Bertsimas V. Digalakis Yu Ma Phevos Paschalidis 111 0 0 28 Mar 2024
The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance J. Donnelly Srikar Katta Cynthia Rudin E. Browne FAtt 121 18 0 24 Sep 2023
Bagging Provides Assumption-free Stability Jake A. Soloff Rina Foygel Barber Rebecca Willett 69 11 0 30 Jan 2023
$Individualized and Global Feature Attributions for Gradient Boosted Trees in the Presence of $\ell_2$ Regularization$ Individualized and Global Feature Attributions for Gradient Boosted Trees in the Presence of $\ell_2$ Regularization Qingyao Sun 65 2 0 08 Nov 2022
Machine learning in bioprocess development: From promise to practice L. M. Helleckes J. Hemmerich W. Wiechert E. Lieres A. Grünberger 74 50 0 04 Oct 2022
Local and Regional Counterfactual Rules: Summarized and Robust Recourses Salim I. Amoukou Nicolas Brunel 58 0 0 29 Sep 2022
Invariant Causal Mechanisms through Distribution Matching Mathieu Chevalley Charlotte Bunne Andreas Krause Stefan Bauer OOD CML 66 42 0 23 Jun 2022
$Random Forest Weighted Local Fr\échet Regression with Random Objects$ Random Forest Weighted Local Fr\échet Regression with Random Objects Rui Qiu Zhou Yu Ruoqing Zhu 185 5 0 10 Feb 2022
Hierarchical Shrinkage: improving the accuracy and interpretability of tree-based methods Abhineet Agarwal Yan Shuo Tan Omer Ronen Chandan Singh Bin Yu 95 27 0 02 Feb 2022
Beyond Importance Scores: Interpreting Tabular ML by Visualizing Feature Semantics Amirata Ghorbani Dina Berenbaum Maor Ivgi Yuval Dafna James Zou FAtt 52 9 0 10 Nov 2021
A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds Yan Shuo Tan Abhineet Agarwal Bin Yu 79 11 0 18 Oct 2021
SHAFF: Fast and consistent SHApley eFfect estimates via random Forests Clément Bénard Gérard Biau Sébastien Da Veiga Erwan Scornet FAtt 100 32 0 25 May 2021
Provable Boolean Interaction Recovery from Tree Ensemble obtained via Random Forests Merle Behr Yu Wang Xiao Li Bin Yu 75 13 0 23 Feb 2021
Learning High-Order Interactions via Targeted Pattern Search M. Massi N. R. Franco Hanla A. Park Andrea Manzoni A. Paganoni P. Zunino 28 5 0 23 Feb 2021
Stable discovery of interpretable subgroups via calibration in causal studies Raaz Dwivedi Yan Shuo Tan Briton Park Mian Wei Kevin Horgan D. Madigan Bin Yu CML 54 30 0 23 Aug 2020
Interpretable Anomaly Detection with DIFFI: Depth-based Isolation Forest Feature Importance Mattia Carletti M. Terzi Gian Antonio Susto 54 42 0 21 Jul 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 311 6,387 0 22 Oct 2019
A Debiased MDI Feature Importance Measure for Random Forests Xiao Li Yu Wang Sumanta Basu Karl Kumbier Bin Yu 231 86 0 26 Jun 2019
Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees Summer Devlin Chandan Singh W. James Murdoch Bin Yu FAtt 62 14 0 18 May 2019
PLIT: An alignment-free computational tool for identification of long non-coding RNAs in plant transcriptomic datasets Sumukh Deshpande J. Shuttleworth Jianhua Yang Sandy Taramonli M. England 23 34 0 12 Feb 2019
Veridical Data Science Bin Yu Karl Kumbier 88 170 0 23 Jan 2019
Interpretable machine learning: definitions, methods, and applications W. James Murdoch Chandan Singh Karl Kumbier R. Abbasi-Asl Bin Yu XAI HAI 211 1,459 0 14 Jan 2019
Learning stable and predictive structures in kinetic systems: Benefits of a causal approach Niklas Pfister Stefan Bauer J. Peters CML 64 41 0 28 Oct 2018
Local Linear Forests R. Friedberg J. Tibshirani Susan Athey Stefan Wager 171 92 0 30 Jul 2018
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches Amirali Aghazadeh Ryan Spring Daniel LeJeune Gautam Dasarathy Anshumali Shrivastava Richard G. Baraniuk 81 32 0 12 Jun 2018
Sparse and Low-rank Tensor Estimation via Cubic Sketchings Botao Hao Anru R. Zhang Guang Cheng 106 51 0 29 Jan 2018
Artificial Intelligence and Statistics Bin Yu Karl Kumbier 75 164 0 08 Dec 2017