List of Publications

Selected publications are underlined.

Theory on Generalized Transfer Learning

  • Meta Learning, Continual Learning
    • Qi Chen, Changjian Shui, Ligong Han, and Mario Marchand. On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm. NeurIPS 2023.
    • Qi Chen, Changjian Shui, Mario Marchand. Generalization Bounds for Meta-Learning: An Information-Theoretic Analysis. NeurIPS 2021. (Spotlight, 3% of submissions) [Paper] [Code]
  • Domain Adaptation
    • Qi Chen, and Mario Marchand. Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain Adaptation. AISTATS 2023.[Paper] [Code]
    • Changjian Shui, Qi Chen, Jun Wen, Fan Zhou, Christian Gagné, and Boyu Wang. A novel domain adaptation theory with Jensen–Shannon divergence. Knowledge-Based Systems, 2022.[Paper]
    • Changjian Shui, Qi Chen, Jun Wen, Fan Zhou, Christian Gagné, and Boyu Wang. Beyond H-divergence: Domain Adaptation Theory with Jensen-Shannon Divergence. 2020. [paper]

Application in Fairness, Privacy, Uncertainty, and Robustness

  • Fairness
    • Changjian Shui, Gezheng Xu, Qi Chen, Jiaqi Li, Charles X. Ling, Tal Arbel, Boyu Wang, and Christian Gagné. On learning fairness and accuracy on multiple subgroups. NeurIPS 2022.[Paper]
    • Changjian Shui, Qi Chen, Jiaqi Li, Boyu Wang, and Christian Gagné. Fair Representation Learning through Implicit Path Alignment. ICML 2022. [Paper]