tudelft-cda-lab / GROOT
[ICML 2021] A fast algorithm for fitting robust decision trees. http://proceedings.mlr.press/v139/vos21a.html
☆22Updated 9 months ago
Related projects ⓘ
Alternatives and complementary repositories for GROOT
- [ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples☆67Updated 2 years ago
- Class Prior Estimation in Active Positive and Unlabeled Learning☆15Updated 3 years ago
- An algorithm for learning optimal decision trees, with Python interface☆61Updated last year
- Oblique Decision Tree in Python☆16Updated 2 years ago
- Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.☆40Updated 3 years ago
- Multiple Generalized Additive Models implemented in Python (EBM, XGB, Spline, FLAM). Code for our KDD 2021 paper "How Interpretable and T…☆12Updated 3 years ago
- Optimal Sparse Decision Trees☆100Updated last year
- TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆57Updated last week
- A collection of algorithms of counterfactual explanations.☆50Updated 3 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆42Updated 2 years ago
- ☆48Updated 3 years ago
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- Adversarial learning by utilizing model interpretation☆10Updated 6 years ago
- This is the official implementation for the paper 'AutoEncoder by Forest'☆75Updated 6 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆40Updated 2 years ago
- A PyTorch Lightning-based library for self- and semi-supervised learning on tabular data.☆26Updated this week
- A straightforward implementation of EGBM-based Generalized Additive Model☆13Updated 4 years ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated 6 months ago
- Efficient LSH-based kernel density estimation☆28Updated 5 years ago
- ☆42Updated 4 years ago
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆42Updated 3 years ago
- Coresets☆37Updated 2 years ago
- pyCausalFS:A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification☆65Updated 3 years ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆123Updated last year
- [NeurIPS 2019] H. Chen*, H. Zhang*, S. Si, Y. Li, D. Boning and C.-J. Hsieh, Robustness Verification of Tree-based Models (*equal contrib…☆26Updated 5 years ago
- Versatile Verification of Tree Ensembles☆16Updated 5 months ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated last year
- Reproducing Shalit et al.'s Individual Treatment Effect model. This is a deep neural net that can be applied to various problems in causa…☆15Updated 2 years ago
- eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding☆22Updated 4 years ago
- Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"☆67Updated 5 months ago