AlaaLab / conformal-metalearnersLinks
[ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
☆44Updated last year
Alternatives and similar repositories for conformal-metalearners
Users that are interested in conformal-metalearners are comparing it to the libraries listed below
Sorting:
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆140Updated 11 months ago
- Active Bayesian Causal Inference (Neurips'22)☆58Updated 11 months ago
- Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner☆16Updated last month
- Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…☆29Updated 2 years ago
- [Experimental] Global causal discovery algorithms☆105Updated 3 weeks ago
- Repository for the explanation method Calibrated Explanations (CE)☆67Updated last month
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆81Updated 6 months ago
- Methods for online conformal prediction.☆114Updated 2 months ago
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆48Updated 3 years ago
- A package for conformal prediction with conditional guarantees.☆60Updated 4 months ago
- ☆9Updated 3 years ago
- A Library for Conformal Hyperparameter Tuning☆30Updated this week
- Fast implementation of Venn-ABERS probabilistic predictors☆73Updated last year
- (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles☆92Updated 3 weeks ago
- A Living Benchmark for Machine Learning on Tabular Data☆97Updated this week
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆77Updated 4 years ago
- AutoML for causal inference.☆224Updated 6 months ago
- A Causal AI package for causal graphs.☆60Updated 3 months ago
- Conformal Anomaly Detection☆48Updated this week
- Integrated tool for model development and validation☆31Updated last week
- This projects contains different conformal methods and approaches. Includes code generated for a experimental evaluation of a multidimens…☆19Updated last year
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆173Updated last year
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆62Updated 11 months ago
- Python implementation of binary and multi-class Venn-ABERS calibration☆165Updated 10 months ago
- Example causal datasets with consistent formatting and ground truth☆87Updated 3 months ago
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆246Updated last month
- Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…☆120Updated last year
- SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)☆17Updated 2 years ago
- Conformal prediction for time-series applications.☆116Updated last year
- Generalized additive model with pairwise interactions☆66Updated last year