KunKuang / Decorrelated-Weighted-RegressionLinks
Stable Prediction with Model Misspecification and Agnostic Distribution Shift
☆26Updated 5 years ago
Alternatives and similar repositories for Decorrelated-Weighted-Regression
Users that are interested in Decorrelated-Weighted-Regression are comparing it to the libraries listed below
Sorting:
- GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"☆60Updated 2 years ago
- Official repo for AAAI 2023 paper "Stable Learning via Sparse Variable Independence".☆13Updated last year
- VAEs and nonlinear ICA: a unifying framework☆50Updated 6 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆105Updated 4 years ago
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆30Updated 4 years ago
- Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".☆199Updated 3 years ago
- Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)☆84Updated 4 years ago
- pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification☆71Updated 5 years ago
- Domain Adaptation for Time Series Under Feature and Label Shifts☆130Updated 2 years ago
- A pytorch implementation of mpvae.☆13Updated 5 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆66Updated 3 years ago
- Python code of Hilbert-Schmidt Independence Criterion☆90Updated 3 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆35Updated 6 years ago
- Benchmarks for Out-of-Distribution Generalization in Time Series Tasks☆70Updated 3 years ago
- Contrastive Learning for Domain Adaptation of Time Series☆94Updated last year
- Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddi…☆52Updated 5 years ago
- Paper lists for Temporal Point Process☆120Updated 6 months ago
- Implementation of the paper "Shapley Explanation Networks"☆89Updated 4 years ago
- ☆62Updated 4 years ago
- Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates☆116Updated 5 years ago
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification☆32Updated last year
- This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…☆75Updated 3 years ago
- Python implementation of the Invariant Causal Prediction (ICP) algorithm, from the 2015 paper "Causal inference using invariant predictio…☆25Updated last year
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆45Updated 2 years ago
- ☆45Updated 2 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆105Updated 6 years ago
- Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance☆77Updated 6 years ago
- the reproduce of Variational Deep Embedding : A Generative Approach to Clustering Requirements by pytorch☆140Updated 2 years ago
- We present a coupled Variational Auto-Encoder (VAE) method that improves the accuracy and robustness of the probabilistic inferences on r…☆19Updated 4 years ago
- ☆91Updated 4 years ago