anpwu / DeR-CFRLinks
☆22Updated 3 weeks ago
Alternatives and similar repositories for DeR-CFR
Users that are interested in DeR-CFR are comparing it to the libraries listed below
Sorting:
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆90Updated 3 years ago
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆98Updated last year
- ☆285Updated 3 years ago
- ☆59Updated 3 years ago
- Experiments codes for SIGKDD '23 paper "Explicit Feature Interaction-aware Uplift Network for Online Marketing"☆81Updated last year
- Counterfactual Regression☆314Updated 2 years ago
- Counterfactual Regression☆25Updated 9 years ago
- ☆26Updated 3 years ago
- ☆33Updated 3 months ago
- Implement PC algorithm in Python | PC 算法的 Python 实现☆118Updated 2 years ago
- ☆45Updated 6 years ago
- Reproducing Shalit et al.'s Individual Treatment Effect model. This is a deep neural net that can be applied to various problems in causa…☆18Updated 3 years ago
- We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NU…☆517Updated 2 years ago
- Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆29Updated 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】☆149Updated 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 5 months ago
- ☆32Updated last month
- Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)☆50Updated 6 years ago
- ☆35Updated 2 months ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆76Updated 4 years ago
- ☆34Updated 3 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆91Updated 2 years ago
- Code for "Learning Deep Features in Instrumental Variable Regression" (https://arxiv.org/abs/2010.07154)☆15Updated last year
- We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)☆94Updated 2 years ago
- pytorch implementation of dragonnet☆45Updated 3 years ago
- ☆316Updated 3 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆150Updated last year
- DAGs with NO TEARS: Continuous Optimization for Structure Learning☆653Updated last year
- code for "Addressing Exposure Bias in Uplift Modeling forLarge-scale Online Advertising"☆36Updated 3 years ago
- Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"☆24Updated 2 years ago