aaronwtr / cfrnet-reproduction
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.
☆17Updated 2 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:
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆42Updated 3 years ago
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.☆25Updated 2 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆75Updated 3 years ago
- ☆33Updated 2 years ago
- ☆58Updated 3 years ago
- code for RIM☆22Updated 2 years ago
- The official implementation for WWW 2022 paper "A Model-Agnostic Causal Learning Framework for Recommendation using Search Data"☆30Updated 2 years ago
- ☆44Updated 6 years ago
- ☆39Updated 6 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
- Attentive Neural Point Processes for Event Forecasting, AAAI 2021☆17Updated 3 years ago
- Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆25Updated 11 months ago
- Some baselines for PCIC2021 Track 2: Causal Inference and Recommendation☆17Updated last year
- Explainable recommendation via interpretable feature mapping☆18Updated 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☆24Updated 2 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆88Updated 2 years ago
- This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.☆45Updated last year
- Counterfactual Regression☆23Updated 8 years ago
- KDD 2022 Invariant Preference Learning for General Debiasing in Recommendation☆22Updated 2 years ago
- Official implementation for NeurIPS23 paper: Causal Discovery from Subsampled Time Series with Proxy Variable☆28Updated 11 months ago
- PCIC 2021 Track1: Causal Discovery☆25Updated 3 years ago
- ☆25Updated 3 years ago
- ☆16Updated 3 years ago
- Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. …☆52Updated 4 years ago
- Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.☆29Updated 4 years ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆128Updated 2 years ago
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆77Updated 2 years ago
- ☆20Updated last year
- Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"☆16Updated last year
- ☆24Updated 3 years ago