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Yatong Chen
Yatong Chen
Computer Science and Engineering, UC Santa Cruz
Verified email at ucsc.edu - Homepage
Title
Cited by
Cited by
Year
Linear Classifiers that Encourage Constructive Adaptation
Y Chen, J Wang, Y Liu
arXiv preprint arXiv:2011.00355, 2020
41*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
282022
Decoupled smoothing on graphs
A Chin, Y Chen, K M. Altenburger, J Ugander
The World Wide Web Conference, 263-272, 2019
172019
Model Transferability With Responsive Decision Subjects
Y Chen, Z Tang, K Zhang, Y Liu
International Conference on Machine Learning, 2023
72023
Tier Balancing: Towards dynamic fairness over underlying causal factors
Z Tang, Y Chen, Y Liu, K Zhang
International Conference on Learning Representations, 2023
62023
Metric-fair classifier derandomization
J Wu, Y Chen, Y Liu
International Conference on Machine Learning, 23999-24016, 2022
62022
Incentivizing recourse through auditing in strategic classification
A Estornell, Y Chen, S Das, Y Liu, Y Vorobeychik
IJCAI, 2023
22023
Performative Prediction with Bandit Feedback: Learning through Reparameterization
Y Chen, W Tang, CJ Ho, Y Liu
arXiv preprint arXiv:2305.01094, 2023
12023
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
12022
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
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Articles 1–11