Linear Classifiers that Encourage Constructive Adaptation Y Chen, J Wang, Y Liu arXiv preprint arXiv:2011.00355, 2020 | 45* | 2020 |
Fairness Transferability Subject to Bounded Distribution Shift Y Chen, R Raab, J Wang, Y Liu Advances in Neural Information Processing Systems (NeurIPS 2022), 2022 | 28 | 2022 |
Decoupled smoothing on graphs A Chin, Y Chen, K M. Altenburger, J Ugander The World Wide Web Conference, 263-272, 2019 | 17 | 2019 |
Model Transferability With Responsive Decision Subjects Y Chen, Z Tang, K Zhang, Y Liu International Conference on Machine Learning, 2023 | 7 | 2023 |
Tier Balancing: Towards dynamic fairness over underlying causal factors Z Tang, Y Chen, Y Liu, K Zhang International Conference on Learning Representations, 2023 | 6 | 2023 |
Metric-fair classifier derandomization J Wu, Y Chen, Y Liu International Conference on Machine Learning, 23999-24016, 2022 | 6 | 2022 |
Incentivizing recourse through auditing in strategic classification A Estornell, Y Chen, S Das, Y Liu, Y Vorobeychik IJCAI, 2023 | 2 | 2023 |
Performative Prediction with Bandit Feedback: Learning through Reparameterization Y Chen, W Tang, CJ Ho, Y Liu arXiv preprint arXiv:2305.01094, 2023 | 1 | 2023 |
Fishy: Layerwise Fisher Approximation for Higher-order Neural Network Optimization A Peirson, E Amid, Y Chen, V Feinberg, MK Warmuth, R Anil Has it Trained Yet? NeurIPS 2022 Workshop, 2022 | 1 | 2022 |
Fast Implicit Constrained Optimization of Non-decomposable Objectives for Deep Networks Y Chen, A Kumar, Y Liu, E Amid Has it Trained Yet? NeurIPS 2022 Workshop, 2022 | | 2022 |
Decoupled Smoothing in Probabilistic Soft Logic Y Chen, B Tor, E Augustine, L Getoor International Workshop on Mining and Learning with Graphs (MLG), 2020 | | 2020 |