Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)
☆42Apr 26, 2022Updated 4 years ago
Alternatives and similar repositories for SIN
Users that are interested in SIN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Mar 24, 2023Updated 3 years ago
- BITES: Balanced Individual Treatment Effect for Survival data☆20Jul 24, 2023Updated 3 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆78Jul 8, 2021Updated 5 years ago
- ☆11Apr 26, 2023Updated 3 years ago
- Code for the paper "Optimal Off-Policy Evaluation from Multiple Logging Policies"☆15Jul 17, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆132Mar 24, 2023Updated 3 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆95Mar 24, 2023Updated 3 years ago
- ☆25Oct 20, 2025Updated 10 months ago
- Group-conditional DRO to alleviate spurious correlations☆15Jul 15, 2021Updated 5 years ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆71Apr 26, 2025Updated last year
- Package for computing causal effects of text (as treatment)☆74May 3, 2022Updated 4 years ago
- 《두들낙서의 C/C++ 한꺼번에 배우기》 예제 코드☆14May 24, 2021Updated 5 years ago
- CausaLM: Causal Model Explanation Through Counterfactual Language Models☆56Jun 14, 2020Updated 6 years ago
- Deep Counterfactual Prediction with Categorical Backward Variables☆12Feb 8, 2023Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆27Aug 30, 2021Updated 5 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆88Mar 29, 2021Updated 5 years ago
- Tensorflow 2 implementation of Causal-BERT☆73Nov 5, 2023Updated 2 years ago
- ICLR 2021: Pre-Training for Context Representation in Conversational Semantic Parsing☆31Aug 30, 2021Updated 5 years ago
- ☆47Feb 14, 2024Updated 2 years ago
- ☆32Oct 13, 2021Updated 4 years ago
- Code for EMNLP 2021 paper "Measuring Association Between Labels and Free-Text Rationales"☆12Sep 12, 2023Updated 2 years ago
- ☆20Mar 25, 2023Updated 3 years ago
- Code for NeurIPS 2022 paper: "Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation" by I. Bica, M. van der …☆11Oct 28, 2022Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Python library of Dynamic Treatment Regimes☆10Oct 26, 2020Updated 5 years ago
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30May 20, 2020Updated 6 years ago
- Implementation of paper Long-Term Effect Estimation with Surrogate Representation☆13Oct 20, 2020Updated 5 years ago
- (WSDM2022 Best Paper Award Runner-Up) "Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model"☆13Jul 16, 2023Updated 3 years ago
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Jul 22, 2021Updated 5 years ago
- Code for paper "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data"☆14Feb 16, 2021Updated 5 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆52Jun 10, 2021Updated 5 years ago
- ☆26Oct 26, 2020Updated 5 years ago
- Learn to Synthesize and Synthesize to Learn☆14Sep 3, 2018Updated 8 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.☆21Nov 9, 2016Updated 9 years ago
- Breast cancer prediction using causal Inference☆11Sep 17, 2021Updated 4 years ago
- heterogeneous treatment effect estimation with causal forests☆12May 1, 2023Updated 3 years ago
- MATLAB implementation of linear support vector classification in hyperbolic space☆21Jun 5, 2018Updated 8 years ago
- Official Implementation of the paper "Variational Causal Networks: Approximate Bayesian Inference over Causal Structures"☆17Nov 19, 2021Updated 4 years ago
- Code for "Challenges of Using Text Classifiers for Causal Inference," at EMNLP '18☆23Sep 23, 2020Updated 5 years ago
- 4th Year project aiming to implement PC, FCI and RFCI algorithms in python☆14Apr 29, 2019Updated 7 years ago