| Learning invariant representations under general interventions on the response K Du, Y Xiang IEEE Journal on Selected Areas in Information Theory, 2023 | 5 | 2023 |
| Generalized invariant matching property via lasso K Du, Y Xiang ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 5 | 2023 |
| Causal inference from slowly varying nonstationary processes K Du, Y Xiang arXiv preprint arXiv:2012.13025, 2020 | 5 | 2020 |
| An invariant matching property for distribution generalization under intervened response K Du, Y Xiang 2022 30th European Signal Processing Conference (EUSIPCO), 1387-1391, 2022 | 3 | 2022 |
| Causal inference using linear time-varying filters with additive noise K Du, Y Xiang 2021 IEEE International Symposium on Information Theory (ISIT), 896-901, 2021 | 3 | 2021 |
| Identifying direct causes using intervened target variable K Du, Y Xiang, I Soloveychik arXiv preprint arXiv:2307.07736, 2023 | 2 | 2023 |
| On the Robustness of Causal Discovery with Additive Noise Models on Discrete Data. K Du, A Goddard, Y Xiang DCC, 365, 2020 | 1 | 2020 |
| Mining Invariance from Nonlinear Multi-Environment Data: Binary Classification A Goddard, K Du, Y Xiang arXiv preprint arXiv:2404.15245, 2024 | | 2024 |
| Causal Inference From Slowly Varying Nonstationary Processes K Du, Y Xiang IEEE Transactions on Signal and Information Processing over Networks, 2024 | | 2024 |
| Low-Rank Approximation of Structural Redundancy for Self-Supervised Learning K Du, Y Xiang arXiv preprint arXiv:2402.06884, 2024 | | 2024 |
