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:
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆75Updated 4 years ago
- ☆58Updated 3 years ago
- We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)☆88Updated 2 years ago
- ☆60Updated 4 years ago
- Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.☆29Updated 4 years ago
- ☆35Updated 3 years ago
- A PyTorch Implementation of Neural Hawkes Process. Redefined.☆34Updated 5 years ago
- Counterfactual Regression☆25Updated 9 years ago
- Variational Autoencoders for Marked Point Processes☆15Updated 5 years ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆129Updated 2 years ago
- ☆21Updated 3 years ago
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆81Updated 2 years ago
- Causal inference is a critical task in various fields such as healthcare,economics, marketing and education. Recently, there have beensig…☆21Updated 3 years ago
- ☆45Updated 6 years ago
- Attentive Neural Point Processes for Event Forecasting, AAAI 2021☆17Updated 4 years ago
- code for RIM☆22Updated 2 years ago
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.☆25Updated 2 years ago
- PCIC 2021 Track1: Causal Discovery☆25Updated 4 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】☆143Updated 2 years ago
- 把因果思维融入机器学习中☆80Updated 5 years ago
- ruizhang-ai / HIRS-Detecting_Arbitrary_Order_Beneficial_Feature_Interactions_for_Recommender_SystemsDetecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems, KDD 2022☆25Updated 3 years ago
- Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆28Updated last year
- Source code of the neural Hawkes particle smoothing (ICML 2019)☆43Updated 6 years ago
- ☆23Updated 3 years ago
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆76Updated 3 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆25Updated 2 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆90Updated 2 years ago
- The official implementation for "Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment" which is accepted to NeurIP…☆22Updated last year
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆62Updated 5 years ago
- [WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation☆33Updated 4 years ago