aaronwtr / cfrnet-reproductionLinks
Reproducing Shalit et al.'s Individual Treatment Effect model. This is a deep neural net that can be applied to various problems in causal inference.
☆18Updated 3 years ago
Alternatives and similar repositories for cfrnet-reproduction
Users that are interested in cfrnet-reproduction are comparing it to the libraries listed below
Sorting:
- ☆59Updated 3 years ago
- Counterfactual Regression☆25Updated 9 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆77Updated 4 years ago
- ☆35Updated 2 months ago
- A PyTorch Implementation of Neural Hawkes Process. Redefined.☆35Updated 5 years ago
- KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective☆33Updated 2 years ago
- PCIC 2021 Track1: Causal Discovery☆25Updated 4 years ago
- ☆26Updated 3 years ago
- 🛠 How to Apply Causal ML to Real Scene Modeling？How to learn Causal ML？【✔从Causal ML到实际场景的Uplift建模】☆149Updated 2 years ago
- 把因果思维融入机器学习中☆81Updated 6 years ago
- We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)☆96Updated 2 years ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆131Updated 2 years ago
- 关于causal discovery, invariant learning, machine learning等方向的论文阅读笔记和slides总结☆33Updated 6 months ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆65Updated 5 years ago
- Implementation of Johansson, Fredrik D., Shalit, Uri, and Sontag, David. Learning representations for counterfactual inference - ICML, 20…☆12Updated 5 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆92Updated 2 years ago
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆91Updated 3 years ago
- ☆45Updated 6 years ago
- Implement PC algorithm in Python | PC 算法的 Python 实现☆118Updated 2 years ago
- ☆22Updated last month
- Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.☆28Updated 4 years ago
- ☆62Updated 5 years ago
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.☆25Updated 3 years ago
- code for RIM☆22Updated 3 years ago
- Causal inference is a critical task in various fields such as healthcare,economics, marketing and education. Recently, there have beensig…☆21Updated 4 years ago
- Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"☆169Updated last year
- An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)☆64Updated 5 years ago
- This repository collects recent top papers about causal inference for recommendation. We will keep updating the paper list weekly.☆16Updated 3 years ago
- Paper lists for Temporal Point Process☆119Updated 5 months ago
- Attentive Neural Point Processes for Event Forecasting, AAAI 2021☆19Updated 4 years ago