MachineLearningBCAM / MRCpyLinks
A Library for Minimax Risk Classifiers
☆31Updated 11 months ago
Alternatives and similar repositories for MRCpy
Users that are interested in MRCpy are comparing it to the libraries listed below
Sorting:
- ☆10Updated 3 years ago
- Mixed integer programming for computing lipschitz constants of ReLU Networks☆16Updated 2 years ago
- csl: PyTorch-based Constrained Learning☆12Updated 3 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 3 years ago
- ☆10Updated 3 years ago
- Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.☆17Updated last year
- Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)☆21Updated 2 years ago
- (ICML 2023) Feature learning in deep classifiers through Intermediate Neural Collapse: Accompanying code☆15Updated last year
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆23Updated 3 years ago
- Benchmark for bi-level optimization solvers☆46Updated last month
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆48Updated last year
- Invariant-feature Subspace Recovery (ISR)☆23Updated 2 years ago
- Implementation of "POPCORN: Partially Observed Prediction Constrained Reinforcement Learning" (Futoma, Hughes, Doshi-Velez, AISTATS 2020)☆12Updated 4 years ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆59Updated 2 years ago
- Fair Empirical Risk Minimization (FERM)☆37Updated 4 years ago
- Source code for the Joint Shapley values: a measure of joint feature importance☆13Updated 3 years ago
- Deep universal probabilistic programming with Python and PyTorch☆12Updated 5 years ago
- Explanation Optimization☆13Updated 4 years ago
- Connecting Interpretability and Robustness in Decision Trees through Separation☆16Updated 4 years ago
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆31Updated 2 years ago
- Implementation of Minimax Pareto Fairness framework☆21Updated 4 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆34Updated last year
- Dynamic causal Bayesian optimisation☆38Updated 2 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆36Updated 2 years ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated last year
- ☆16Updated 9 months ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 3 years ago
- ☆12Updated 4 months ago
- Code for AAAI 2020 paper "Ensembles of Locally Independent Prediction Models"☆8Updated 5 years ago