liangoy / WAIC2022CausalLinks
☆10Updated 2 years ago
Alternatives and similar repositories for WAIC2022Causal
Users that are interested in WAIC2022Causal are comparing it to the libraries listed below
Sorting:
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆89Updated last year
- ☆40Updated 3 years ago
- Experiments codes for SIGKDD '23 paper "Explicit Feature Interaction-aware Uplift Network for Online Marketing"☆68Updated 10 months ago
- mtgbmcode☆172Updated 2 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】☆133Updated 2 years ago
- WAIC 2022 Hackathon Causal Learning and Decision Optimization Challenge☆6Updated 2 years ago
- code for "Addressing Exposure Bias in Uplift Modeling forLarge-scale Online Advertising"☆34Updated 3 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆16Updated 5 years ago
- ☆20Updated 3 years ago
- ☆34Updated 3 years ago
- Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆25Updated last year
- Rankability Enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆14Updated last year
- pytorch implementation of dragonnet☆42Updated 2 years ago
- Build a python version causal inference model for Pcalg☆19Updated 5 years ago
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆77Updated 2 years ago
- Pytorch implementation of Adaptive Information Transfer Multi-task (AITM)☆18Updated 3 years ago
- esmm model by tensorflow keras☆68Updated 3 years ago
- A powerful tree-based uplift modeling system.☆31Updated last year
- 利用Encoder对二分类任务的序列数据进行概率预测☆51Updated 4 years ago
- 3rd place solution of ICDM 2022 Risk Commodities Detection on Large-Scale E-Commence Graphs☆38Updated 2 years ago
- ☆270Updated 3 years ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆69Updated 2 months ago
- The real-world Production Dataset from E-commerce platform Meituan☆24Updated last year
- Source code for paper: HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction☆84Updated last year
- 因果推理&AB实验相关论文小书库☆234Updated 2 years ago
- ☆97Updated 3 years ago
- ☆34Updated 2 years ago
- OpenASCE (Open All-Scale Casual Engine) is a Python package for end-to-end large-scale causal learning. It provides causal discovery, cau…☆74Updated last year
- I have surveyed the technology and papers of CTR & Recommender System, and implemented 25 common-used models with Pytorch for reusage. …☆52Updated last year
- KwaiRec: A Fully-observed Dataset for Recommender Systems.☆155Updated 5 months ago