statmlben / dnn-inference
Significance tests of feature relevance for a black-box learner
☆18Updated 6 months ago
Alternatives and similar repositories for dnn-inference:
Users that are interested in dnn-inference are comparing it to the libraries listed below
- This repository contains a list of awesome literature in statistics and machine learning.☆14Updated 8 months ago
- Recommender systems in Python☆26Updated last month
- nl-causal: nonlinear causal inference based on IV regression in Python☆15Updated 7 months ago
- CUHK-SToAT: Open Statistical Toolkits☆16Updated last month
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆135Updated 7 months ago
- Non-parametrics for Causal Inference☆43Updated 2 years ago
- Nonlinear Causal Discovery with Confounders☆19Updated 2 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆165Updated 8 months ago
- Short tutorials on the use of machine learning methods for causal inference☆49Updated 2 years ago
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆42Updated last year
- ☆54Updated 2 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆71Updated 3 years ago
- Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)☆16Updated 4 years ago
- Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search…☆55Updated last year
- A package for conformal prediction with conditional guarantees.☆49Updated 2 weeks ago
- Code to run submissions for the Atlantic Causal Inference Competition☆42Updated 6 months ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆18Updated 3 years ago
- Statistical inference for fairness auditing☆12Updated last year
- Beta calibration☆28Updated last year
- Conditional calibration of conformal p-values for outlier detection.☆34Updated 2 years ago
- Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence☆40Updated last year
- ☆20Updated 2 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆81Updated 6 years ago
- A benchmark for distribution shift in tabular data☆50Updated 8 months ago
- Reinforcement Learning Short Course☆60Updated 2 months ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆58Updated 4 years ago
- Conformalized Quantile Regression☆262Updated 2 years ago
- Tools for conformal inference in regression☆233Updated 5 months ago
- Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence☆15Updated last month
- Example causal datasets with consistent formatting and ground truth☆77Updated last year