KunKuang / Decorrelated-Weighted-Regression
Stable Prediction with Model Misspecification and Agnostic Distribution Shift
☆26Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for Decorrelated-Weighted-Regression
- Official repo for AAAI 2023 paper "Stable Learning via Sparse Variable Independence".☆12Updated 5 months ago
- GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"☆54Updated last year
- The implementation and addtional material of AAAI2020 paper "Stable Learning via Sample Reweighting"☆16Updated 4 years ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆43Updated last year
- pyCausalFS:A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification☆65Updated 3 years ago
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆27Updated 3 years ago
- Python implementation of the Invariant Causal Prediction (ICP) algorithm, from the 2015 paper "Causal inference using invariant predictio…☆20Updated 9 months ago
- VAEs and nonlinear ICA: a unifying framework☆43Updated 5 years ago
- Implementation of the paper "Shapley Explanation Networks"☆85Updated 3 years ago
- A generalized score-based method for Causal Discovery☆15Updated 4 years ago
- ☆60Updated 3 years ago
- Causal Discovery from Nonstationary/Heterogeneous Data.☆50Updated 4 years ago
- Domain Adaptation for Time Series Under Feature and Label Shifts☆107Updated last year
- Disentangled gEnerative cAusal Representation (DEAR)☆56Updated 2 years ago
- On the Role of Sparsity and DAG Constraints for Learning Linear DAGs☆33Updated 3 years ago
- ☆37Updated last year
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆31Updated 3 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆73Updated 2 years ago
- This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…☆75Updated 2 years ago
- ☆88Updated last year
- A Pytorch implementation of missing data imputation using optimal transport.☆95Updated 3 years ago
- Contrastive Learning for Domain Adaptation of Time Series☆81Updated 7 months ago
- Time series data structure learning with NOTEARS and DYNOTEARS☆11Updated 5 months ago
- Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)☆76Updated 3 years ago
- Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022☆74Updated 2 years ago
- Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddi…☆49Updated 4 years ago
- Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates☆110Updated 4 years ago
- This repo contains the implementation of the Wasserstein Barycenter Transport proposed in "Wasserstein Barycenter Transport for Acoustic …☆31Updated 2 years ago
- Dataset Bias correction (Python)☆19Updated 6 years ago
- The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.☆24Updated 3 years ago