deshen24 / syntheticNN
☆22Updated 3 years ago
Alternatives and similar repositories for syntheticNN:
Users that are interested in syntheticNN are comparing it to the libraries listed below
- Conditional calibration of conformal p-values for outlier detection.☆34Updated 2 years ago
- Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. …☆52Updated 4 years ago
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆27Updated 2 years ago
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆42Updated last year
- ☆8Updated 3 years ago
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆27Updated 3 years ago
- Codebase for "Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions", ICML 2020.☆8Updated 4 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆58Updated 10 months ago
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆59Updated 5 months ago
- Causal Inference for Time Series Data (with CausalML Demo)☆13Updated last year
- Short tutorials on the use of machine learning methods for causal inference☆49Updated 2 years ago
- Nonlinear Causal Discovery with Confounders☆18Updated last year
- 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
- Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds☆11Updated 5 years ago
- Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)☆26Updated last year
- Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…☆27Updated last year
- Breast cancer prediction using causal Inference☆10Updated 3 years ago
- An R package to estimate the effect of interventions on univariate time series using ARIMA models☆19Updated 8 months ago
- ☆15Updated 6 months ago
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆56Updated 8 months ago
- A curated list of awesome work on causal inference, particularly in machine learning.☆98Updated 3 years ago
- ☆37Updated 6 years ago
- Non-parametrics for Causal Inference☆43Updated 2 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆75Updated 3 years ago
- Code for Colangelo and Lee (2022)☆12Updated 7 months ago
- Implementations of methods proposed in the paper "Conformal Prediction Sets for Graph Neural Networks"☆13Updated last year
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems☆21Updated 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
- Missing value imputation using Gaussian copula☆35Updated 9 months ago