harris-chris / joint-shapley-valuesLinks
Source code for the Joint Shapley values: a measure of joint feature importance
☆13Updated 3 years ago
Alternatives and similar repositories for joint-shapley-values
Users that are interested in joint-shapley-values are comparing it to the libraries listed below
Sorting:
- A Library for Minimax Risk Classifiers☆31Updated last year
- ☆10Updated 3 years ago
- Official Python implementation of Geometric Component Analysis (GeomCA) algorithm.☆9Updated 3 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated 2 years ago
- Codebase for "Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions", ICML 2020.☆9Updated 4 years ago
- Custom graph/network/multi-weighted network class based on storing list of neighbors for each nodes (as opposed to edge list) for scalabl…☆11Updated last year
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆15Updated 10 months ago
- This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)☆12Updated 3 years ago
- ☆14Updated 2 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Updated 2 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
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems☆22Updated 3 years ago
- Official repository for the paper: "Trees with Attention for Set Prediction Tasks" (ICML21)☆10Updated 3 years ago
- Connecting Interpretability and Robustness in Decision Trees through Separation☆16Updated 4 years ago
- Dynamic causal Bayesian optimisation☆39Updated 2 years ago
- A comparison of some conformal quantile regression methods.☆14Updated 5 years ago
- ☆16Updated 3 years ago
- Code and real data for "Counterfactual Temporal Point Processes", NeurIPS 2022☆15Updated 2 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆23Updated 3 years ago
- Accompanying code for our NeurIPS 2019 paper☆12Updated 5 years ago
- A community repository for benchmarking Bayesian methods☆11Updated 2 years ago
- ☆11Updated 3 years ago
- Influence Estimation for Gradient-Boosted Decision Trees☆29Updated last year
- An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…☆14Updated 3 years ago
- Explanation Optimization☆13Updated 4 years ago
- Official code for the paper: Invertible Neural Network for Graph Prediction☆9Updated 2 years ago
- ☆12Updated 4 years ago
- Code for nonconvex graph trend filtering☆10Updated 3 years ago
- Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.☆29Updated last year
- Official Implementation of "Doubly Mixed-Effects Gaussian Process Regression" (Jun Ho Yoon, Daniel P. Jeong, Seyoung Kim) (AISTATS 2022, …☆12Updated 3 years ago