lushleaf / varying-coefficient-net-with-functional-trLinks
[ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effects
☆92Updated 3 years ago
Alternatives and similar repositories for varying-coefficient-net-with-functional-tr
Users that are interested in varying-coefficient-net-with-functional-tr are comparing it to the libraries listed below
Sorting:
- ☆287Updated 3 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆93Updated 2 years ago
- ☆23Updated 2 months ago
- Counterfactual Regression☆317Updated 3 years ago
- ☆59Updated 3 years ago
- ☆36Updated 3 months ago
- Counterfactual Regression☆25Updated 9 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆153Updated last year
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆103Updated 2 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆66Updated 5 years ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆131Updated 2 years ago
- ☆26Updated 3 years ago
- ☆45Updated 6 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆77Updated 4 years ago
- pytorch implementation of dragonnet☆46Updated 3 years ago
- ☆31Updated 3 years ago
- Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica…☆30Updated 4 years ago
- ☆34Updated 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
- Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"☆24Updated 2 years ago
- Causal Effect Inference with Deep Latent-Variable Models☆354Updated 5 years ago
- Causal Inference☆11Updated 5 years ago
- Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)☆50Updated 6 years ago
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.☆25Updated 3 years ago
- Experiments codes for SIGKDD '23 paper "Explicit Feature Interaction-aware Uplift Network for Online Marketing"☆85Updated last year
- Causal inference is a critical task in various fields such as healthcare,economics, marketing and education. Recently, there have beensig…☆21Updated 4 years ago
- BITES: Balanced Individual Treatment Effect for Survival data☆18Updated 2 years ago
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆67Updated last year
- We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NU…☆515Updated 2 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