Silver-Shen / Stable_Linear_Model_LearningLinks
The implementation and addtional material of AAAI2020 paper "Stable Learning via Sample Reweighting"
☆16Updated 5 years ago
Alternatives and similar repositories for Stable_Linear_Model_Learning
Users that are interested in Stable_Linear_Model_Learning are comparing it to the libraries listed below
Sorting:
- Stable Prediction with Model Misspecification and Agnostic Distribution Shift☆25Updated 5 years ago
- Official repo for AAAI 2023 paper "Stable Learning via Sparse Variable Independence".☆13Updated last year
- This is a sample implementation of "Robust Graph Convolutional Networks Against Adversarial Attacks", KDD 2019.☆10Updated 4 years ago
- pyCausalFS:A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification☆69Updated 4 years ago
- Code of paper "CAUSPref: Causal Preference Learning for Out-of-Distribution Recommendation" (the WebConf22)☆18Updated 3 years ago
- ☆45Updated 6 years ago
- Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.☆56Updated 4 years ago
- Unsupervised Domain Adaptation on Graphs☆15Updated 3 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆60Updated 2 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆75Updated 3 years ago
- ☆9Updated 11 months ago
- Code for the paper named "Positive-Unlabeled Learning from Imbalanced Data" which has been accepted by IJCAI-21☆16Updated 3 years ago
- ☆44Updated last year
- The python implementation of tri-triaing☆50Updated 5 years ago
- ☆28Updated last month
- Causal inference is a critical task in various fields such as healthcare,economics, marketing and education. Recently, there have beensig…☆21Updated 3 years ago
- This paper studies the problem of cross-network node classification to overcome the insufficiency of labeled data in a single network. It…☆25Updated 3 years ago
- Official code of "Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting" (2023 ICLR)☆16Updated 2 years ago
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.☆25Updated 2 years ago
- ☆16Updated 3 years ago
- This code provide the CANM algorithim for causal discovery. Please cite "Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao. Cau…☆16Updated 6 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆73Updated 3 years ago
- The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.☆25Updated 3 years ago
- Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddi…☆53Updated 4 years ago
- Code for reproducing experiments on MNIST and CIFAR-10 in paper "Positive-Unlabeled Learning with Non-Negative Risk Estimator".☆21Updated 2 years ago
- Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"☆17Updated 2 years ago
- popular concept drift evaluation datasets☆11Updated 5 years ago
- ☆11Updated 3 years ago
- ☆58Updated 3 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆61Updated 5 years ago