Feature-based learning for diverse and privacy-preserving counterfactual explanations V Vo, T Le, V Nguyen, H Zhao, EV Bonilla, G Haffari, D Phung Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 10 | 2023 |
Parameter Estimation in DAGs from Incomplete Data via Optimal Transport V Vo, T Le, TL Vuong, H Zhao, E Bonilla, D Phung The Forty-first International Conference on Machine Learning, 2024 | 4* | 2024 |
An Additive Instance-Wise Approach to Multi-class Model Interpretation V Vo, V Nguyen, T Le, QH Tran, G Haffari, S Camtepe, D Phung The Eleventh International Conference on Learning Representations, 2022 | 4 | 2022 |
Unsupervised sentence simplification via dependency parsing V Vo, W Wang, W Buntine arXiv preprint arXiv:2206.12261, 2022 | 4 | 2022 |
Optimal Transport for Structure Learning Under Missing Data V Vo, H Zhao, T Le, EV Bonilla, D Phung The Forty-first International Conference on Machine Learning, 2024 | 3 | 2024 |
Diversity-Aware Agnostic Ensemble of Sharpness Minimizers A Bui, V Vo, T Pham, D Phung, T Le arXiv preprint arXiv:2403.13204, 2024 | 1 | 2024 |
Explainable Spatio-Temporal Forecasting with Shape Functions X Cao, V Vo, T Chu, G Qian, M Gong | | |