amiratag / DistributionalShapley
Distributional Shapley: A Distributional Framework for Data Valuation
☆30Updated 11 months ago
Alternatives and similar repositories for DistributionalShapley:
Users that are interested in DistributionalShapley are comparing it to the libraries listed below
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆40Updated 2 years ago
- Efficient Computation and Analysis of Distributional Shapley Values (AISTATS 2021)☆21Updated last year
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆96Updated 2 months ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- PyTorch reimplementation of computing Shapley values via Truncated Monte Carlo sampling from "What is your data worth? Equitable Valuatio…☆27Updated 3 years ago
- ☆50Updated 2 years ago
- Implementation of Minimax Pareto Fairness framework☆21Updated 4 years ago
- Tilted Empirical Risk Minimization (ICLR '21)☆59Updated last year
- Fair Empirical Risk Minimization (FERM)☆37Updated 4 years ago
- Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value (ICML 2023)☆18Updated last year
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 3 years ago
- ☆14Updated 5 years ago
- Official Repo for "Efficient task-specific data valuation for nearest neighbor algorithms"☆26Updated 5 years ago
- [CVPR 2021] Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification?☆33Updated 4 years ago
- Learning rate adaptation for differentially private stochastic gradient descent☆16Updated 3 years ago
- ☆22Updated 5 years ago
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆30Updated 2 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Updated 11 months ago
- 💱 A curated list of data valuation (DV) to design your next data marketplace☆117Updated last month
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆12Updated 11 months ago
- A benchmark for distribution shift in tabular data☆52Updated 10 months ago
- This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …☆24Updated 2 years ago
- ☆30Updated 3 years ago
- Anupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Zifan Wang☆18Updated 4 years ago
- Computationally friendly hyper-parameter search with DP-SGD☆25Updated 3 months ago
- Self-Explaining Neural Networks☆13Updated last year
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆43Updated 4 years ago
- ☆22Updated 6 years ago
- ☆22Updated 2 years ago
- Self-Explaining Neural Networks☆42Updated 5 years ago