| Generalization bounds for meta-learning: An information-theoretic analysis Q Chen, C Shui, M Marchand Advances in Neural Information Processing Systems 34, 25878-25890, 2021 | 30 | 2021 |
| Beyond H-divergence: Domain adaptation theory with jensen-shannon divergence C Shui, Q Chen, J Wen, F Zhou, C Gagné, B Wang arXiv preprint arXiv:2007.15567 6, 2020 | 24 | 2020 |
| On learning fairness and accuracy on multiple subgroups C Shui, G Xu, Q Chen, J Li, CX Ling, T Arbel, B Wang, C Gagné Advances in Neural Information Processing Systems 35, 34121-34135, 2022 | 16 | 2022 |
| Fair representation learning through implicit path alignment C Shui, Q Chen, J Li, B Wang, C Gagné International Conference on Machine Learning, 20156-20175, 2022 | 13 | 2022 |
| Improving Negative-Prompt Inversion via Proximal Guidance L Han, S Wen, Q Chen, Z Zhang, K Song, M Ren, R Gao, Y Chen, D Liu, ... arXiv preprint arXiv:2306.05414, 2023 | 6 | 2023 |
| A novel domain adaptation theory with Jensen–Shannon divergence C Shui, Q Chen, J Wen, F Zhou, C Gagné, B Wang Knowledge-Based Systems 257, 109808, 2022 | 6 | 2022 |
| Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain Adaptation Q Chen, M Marchand International Conference on Artificial Intelligence and Statistics, 10368-10394, 2023 | 2 | 2023 |
| On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm C Qi, C Shui, L Han, M Marchand Thirty-seventh Conference on Neural Information Processing Systems, 2023 | | 2023 |
Changjian ShuiMcGill UniversityVerified email at mcgill.ca
