alwaysmodest / A-Survey-of-Deep-Causal-Models-and-Their-Industrial-ApplicationsLinks
☆33Updated 4 months ago
Alternatives and similar repositories for A-Survey-of-Deep-Causal-Models-and-Their-Industrial-Applications
Users that are interested in A-Survey-of-Deep-Causal-Models-and-Their-Industrial-Applications are comparing it to the libraries listed below
Sorting:
- We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)☆96Updated 2 years ago
- ☆26Updated 3 years ago
- ☆23Updated 2 months ago
- 关于causal discovery, invariant learning, machine learning等方向的论文阅读笔记和slides总结☆34Updated 6 months ago
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆92Updated 3 years ago
- ☆45Updated 6 years ago
- 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
- Implement PC algorithm in Python | PC 算法的 Python 实现☆118Updated 2 years ago
- Official code of "Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting" (2023 ICLR)☆16Updated 2 years ago
- Experiments codes for SIGKDD '23 paper "Explicit Feature Interaction-aware Uplift Network for Online Marketing"☆85Updated last year
- Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆30Updated last year
- Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"☆20Updated 2 years ago
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆103Updated 2 years ago
- ☆62Updated 5 years ago
- ☆36Updated 3 months ago
- ☆36Updated 3 months ago
- A list of Graph Causal Learning materials.☆209Updated 11 months ago
- Code of paper "CAUSPref: Causal Preference Learning for Out-of-Distribution Recommendation" (the WebConf22)☆20Updated 3 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆77Updated 4 years ago
- An index of causal inference based recommendation algorithms (TOIS).☆62Updated 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…☆18Updated 3 years ago
- Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"☆174Updated last year
- An awesome collection of causality-inspired graph neural networks.☆98Updated last year
- EasyTPP: Towards Open Benchmarking Temporal Point Processes☆329Updated 3 weeks ago
- ☆59Updated 3 years ago
- Paper lists for Temporal Point Process☆120Updated 5 months ago
- ☆287Updated 3 years ago
- ☆317Updated 4 years ago
- Trustworthy AI related projects☆1,095Updated last month
- Counterfactual Regression☆25Updated 9 years ago