yangarbiter / interpretable-robust-treesLinks
Connecting Interpretability and Robustness in Decision Trees through Separation
☆16Updated 4 years ago
Alternatives and similar repositories for interpretable-robust-trees
Users that are interested in interpretable-robust-trees are comparing it to the libraries listed below
Sorting:
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated 2 years ago
- Explanation Optimization☆13Updated 5 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 4 years ago
- ☆38Updated 4 years ago
- Post-processing for fair classification☆16Updated 6 months ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆28Updated 4 years ago
- ☆10Updated 3 years ago
- Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).☆24Updated 3 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆42Updated 3 years ago
- Learning perturbation sets for robust machine learning☆65Updated 4 years ago
- ☆21Updated 5 years ago
- Code for the paper "Optimal Off-Policy Evaluation from Multiple Logging Policies"☆15Updated 4 years ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆63Updated 3 years ago
- ☆37Updated 2 years ago
- Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"☆23Updated 6 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 3 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- A straightforward implementation of EGBM-based Generalized Additive Model☆14Updated 5 years ago
- Code for testing DCT plus Sparse (DCTpS) networks☆14Updated 4 years ago
- "Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021☆18Updated 4 years ago
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆13Updated 2 years ago
- A simple algorithm to identify and correct for label shift.☆22Updated 7 years ago
- CROWN: A Neural Network Verification Framework for Networks with General Activation Functions☆39Updated 7 years ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated last year
- Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)☆21Updated 2 years ago
- Explaining a black-box using Deep Variational Information Bottleneck Approach☆46Updated 3 years ago
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Updated 5 years ago
- Tools for robustness evaluation in interpretability methods☆10Updated 4 years ago
- csl: PyTorch-based Constrained Learning☆12Updated 3 years ago
- Provable Worst Case Guarantees for the Detection of Out-of-Distribution Data☆13Updated 3 years ago