| Causal discovery from heterogeneous/nonstationary data B Huang, K Zhang, J Zhang, J Ramsey, R Sanchez-Romero, C Glymour, ... Journal of Machine Learning Research 21 (89), 1-53, 2020 | 184 | 2020 |
| Causal discovery from nonstationary/heterogeneous data: Skeleton estimation and orientation determination K Zhang, B Huang, J Zhang, C Glymour, B Schölkopf IJCAI: Proceedings of the Conference 2017, 1347, 2017 | 141 | 2017 |
| Generalized Score Functions for Causal Discovery B Huang, K Zhang, Y Lin, B Schölkopf, C Glymour KDD'18, 2018 | 130 | 2018 |
| Generalized independent noise condition for estimating latent variable causal graphs F Xie, R Cai, B Huang, C Glymour, Z Hao, K Zhang Advances in neural information processing systems 33, 14891-14902, 2020 | 77 | 2020 |
| Tetrad—a toolbox for causal discovery JD Ramsey, K Zhang, M Glymour, RS Romero, B Huang, I Ebert-Uphoff, ... 8th international workshop on climate informatics, 1-4, 2018 | 77 | 2018 |
| Estimating feedforward and feedback effective connections from fMRI time series: Assessments of statistical methods R Sanchez-Romero, JD Ramsey, K Zhang, MRK Glymour, B Huang, ... Network Neuroscience 3 (2), 274-306, 2019 | 70 | 2019 |
| Domain adaptation as a problem of inference on graphical models K Zhang, M Gong, P Stojanov, B Huang, Q Liu, C Glymour Advances in neural information processing systems 33, 4965-4976, 2020 | 64 | 2020 |
| Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models B Huang, K Zhang, M Gong, C Glymour International Conference of Machine Learning, 2019, 2019 | 61 | 2019 |
| Multi-domain causal structure learning in linear systems AE Ghassami, N Kiyavash, B Huang, K Zhang Advances in neural information processing systems 31, 2018 | 58 | 2018 |
| Deeptrader: A deep reinforcement learning approach for risk-return balanced portfolio management with market conditions embedding Z Wang, B Huang, S Tu, K Zhang, L Xu Proceedings of the AAAI conference on artificial intelligence 35 (1), 643-650, 2021 | 57 | 2021 |
| Adarl: What, where, and how to adapt in transfer reinforcement learning B Huang, F Feng, C Lu, S Magliacane, K Zhang arXiv preprint arXiv:2107.02729, 2021 | 50 | 2021 |
| Sample-efficient reinforcement learning via counterfactual-based data augmentation C Lu, B Huang, K Wang, JM Hernández-Lobato, K Zhang, B Schölkopf arXiv preprint arXiv:2012.09092, 2020 | 47 | 2020 |
| Identification of time-dependent causal model: A gaussian process treatment B Huang, K Zhang, B Schölkopf Twenty-Fourth international joint conference on artificial intelligence, 2015 | 41 | 2015 |
| Identification of linear non-gaussian latent hierarchical structure F Xie, B Huang, Z Chen, Y He, Z Geng, K Zhang International Conference on Machine Learning, 24370-24387, 2022 | 39 | 2022 |
| Behind distribution shift: Mining driving forces of changes and causal arrows B Huang, K Zhang, J Zhang, R Sanchez-Romero, C Glymour, B Schölkopf 2017 IEEE International Conference on Data Mining (ICDM), 913-918, 2017 | 33 | 2017 |
| Latent hierarchical causal structure discovery with rank constraints B Huang, CJH Low, F Xie, C Glymour, K Zhang Advances in Neural Information Processing Systems 35, 5549-5561, 2022 | 29 | 2022 |
| Factored adaptation for non-stationary reinforcement learning F Feng, B Huang, K Zhang, S Magliacane Advances in Neural Information Processing Systems 35, 31957-31971, 2022 | 29 | 2022 |
| Causal generative domain adaptation networks M Gong, K Zhang, B Huang, C Glymour, D Tao, K Batmanghelich arXiv preprint arXiv:1804.04333, 2018 | 26 | 2018 |
| Causal discovery from multiple data sets with non-identical variable sets B Huang, K Zhang, M Gong, C Glymour Proceedings of the AAAI conference on artificial intelligence 34 (06), 10153 …, 2020 | 24 | 2020 |
| Action-sufficient state representation learning for control with structural constraints B Huang, C Lu, L Leqi, JM Hernández-Lobato, C Glymour, B Schölkopf, ... International Conference on Machine Learning, 9260-9279, 2022 | 23 | 2022 |
Kun ZhangCarnegie Mellon University & Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)Verified email at cmu.edu
