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Elynn Y. Chen
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2020 – today
- 2025
- [i16]Jinhang Chai, Elynn Y. Chen, Jianqing Fan:
Deep Transfer Q-Learning for Offline Non-Stationary Reinforcement Learning. CoRR abs/2501.04870 (2025) - [i15]Elynn Y. Chen, Xi Chen, Wenbo Jing, Xiao Liu:
Stochastic Linear Bandits with Latent Heterogeneity. CoRR abs/2502.00423 (2025) - [i14]Jinhang Chai, Elynn Y. Chen, Lin Yang:
Transition Transfer Q-Learning for Composite Markov Decision Processes. CoRR abs/2502.00534 (2025) - [i13]Tao Wen, Elynn Y. Chen, Yuzhou Chen, Qi Lei:
Bridging Domain Adaptation and Graph Neural Networks: A Tensor-Based Framework for Effective Label Propagation. CoRR abs/2502.08505 (2025) - 2024
- [c3]Tao Wen, Elynn Y. Chen, Yuzhou Chen:
Tensor-view Topological Graph Neural Network. AISTATS 2024: 4330-4338 - [i12]Tao Wen, Elynn Y. Chen, Yuzhou Chen:
Tensor-view Topological Graph Neural Network. CoRR abs/2401.12007 (2024) - [i11]Elynn Y. Chen, Xi Chen, Wenbo Jing:
Data-Driven Knowledge Transfer in Batch Q* Learning. CoRR abs/2404.15209 (2024) - [i10]Elynn Y. Chen, Yuefeng Han, Jiayu Li:
High-Dimensional Tensor Discriminant Analysis with Incomplete Tensors. CoRR abs/2410.14783 (2024) - [i9]Yujia Wu, Bo Yang, Elynn Y. Chen, Yuzhou Chen, Zheshi Zheng:
Conditional Prediction ROC Bands for Graph Classification. CoRR abs/2410.15239 (2024) - [i8]Yujia Wu, Bo Yang, Yang Zhao, Elynn Y. Chen, Yuzhou Chen, Zheshi Zheng:
Conditional Uncertainty Quantification for Tensorized Topological Neural Networks. CoRR abs/2410.15241 (2024) - [i7]Yujia Wu, Junyi Mo, Elynn Y. Chen, Yuzhou Chen:
Tensor-Fused Multi-View Graph Contrastive Learning. CoRR abs/2410.15247 (2024) - [i6]Linghang Kong, Elynn Y. Chen, Yuzhou Chen, Yuefeng Han:
TEAFormers: TEnsor-Augmented Transformers for Multi-Dimensional Time Series Forecasting. CoRR abs/2410.20439 (2024) - 2023
- [c2]Yuhao Li
, Mengqian Zhang
MEV Makes Everyone Happy under Greedy Sequencing Rule. DeFi@CCS 2023: 9-15 - [i5]Yuhao Li, Mengqian Zhang, Jichen Li, Elynn Y. Chen, Xi Chen, Xiaotie Deng:
MEV Makes Everyone Happy under Greedy Sequencing Rule. CoRR abs/2309.12640 (2023) - 2022
- [i4]Elynn Y. Chen, Rui Song, Michael I. Jordan:
Reinforcement Learning with Heterogeneous Data: Estimation and Inference. CoRR abs/2202.00088 (2022) - [i3]Elynn Y. Chen, Michael I. Jordan, Sai Li:
Transferred Q-learning. CoRR abs/2202.04709 (2022) - 2021
- [c1]Tianyi Lin, Zeyu Zheng, Elynn Y. Chen, Marco Cuturi, Michael I. Jordan:
On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification. AISTATS 2021: 262-270 - 2020
- [i2]Tianyi Lin, Zeyu Zheng, Elynn Y. Chen, Marco Cuturi, Michael I. Jordan:
On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification. CoRR abs/2006.12301 (2020)
2010 – 2019
- 2019
- [i1]Krishna Balasubramanian, Elynn Y. Chen, Jianqing Fan, Xiang Wu:
Low-Rank Principal Eigenmatrix Analysis. CoRR abs/1904.12369 (2019)
Coauthor Index
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