anpwu / DeR-CFR
☆17Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for DeR-CFR
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆68Updated 2 years ago
- ☆57Updated 2 years ago
- ☆38Updated 5 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆73Updated 3 years ago
- Counterfactual Regression☆24Updated 8 years ago
- ☆22Updated 2 years ago
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆66Updated 10 months ago
- We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)☆69Updated last year
- Reproducing Shalit et al.'s Individual Treatment Effect model. This is a deep neural net that can be applied to various problems in causa…☆14Updated 2 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆83Updated last year
- Counterfactual Regression☆295Updated last year
- Causal Inference☆10Updated 4 years ago
- ☆248Updated 2 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆126Updated 4 months ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆123Updated last year
- code for "Addressing Exposure Bias in Uplift Modeling forLarge-scale Online Advertising"☆23Updated 2 years ago
- ☆289Updated 2 years ago
- Experiments codes for SIGKDD '23 paper "Explicit Feature Interaction-aware Uplift Network for Online Marketing"☆39Updated 3 months ago
- Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"☆19Updated 2 years ago
- We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NU…☆506Updated last year
- Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"☆16Updated last year
- 🛠 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】☆112Updated last year
- Causal inference is a critical task in various fields such as healthcare,economics, marketing and education. Recently, there have beensig…☆19Updated 3 years ago
- ☆30Updated 2 years ago
- Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search…☆52Updated 8 months ago
- ☆88Updated last year
- 关于causal discovery, invariant learning, machine learning等方向的论文阅读笔记和slides总结☆25Updated 10 months ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆54Updated 4 years ago
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆74Updated 3 years ago
- ☆27Updated 2 years ago