Elynn Y. Chen

According to our database, Elynn Y. Chen authored at least 14 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Stochastic Linear Bandits with Latent Heterogeneity.

Elynn Y. Chen, Xi Chen, Wenbo Jing, Xiao Liu

CoRR, February, 2025

Deep Transfer <i>Q</i>-Learning for Offline Non-Stationary Reinforcement Learning.

Jinhang Chai, Elynn Y. Chen, Jianqing Fan

CoRR, January, 2025

2024

TEAFormers: TEnsor-Augmented Transformers for Multi-Dimensional Time Series Forecasting.

Linghang Kong, Elynn Y. Chen, Yuzhou Chen, Yuefeng Han

CoRR, 2024

Tensor-Fused Multi-View Graph Contrastive Learning.

Yujia Wu, Junyi Mo, Elynn Y. Chen, Yuzhou Chen

CoRR, 2024

Conditional Uncertainty Quantification for Tensorized Topological Neural Networks.

Yujia Wu, Bo Yang, Yang Zhao, Elynn Y. Chen, Yuzhou Chen, Zheshi Zheng

CoRR, 2024

Conditional Prediction ROC Bands for Graph Classification.

Yujia Wu, Bo Yang, Elynn Y. Chen, Yuzhou Chen, Zheshi Zheng

CoRR, 2024

High-Dimensional Tensor Discriminant Analysis with Incomplete Tensors.

Elynn Y. Chen, Yuefeng Han, Jiayu Li

CoRR, 2024

Data-Driven Knowledge Transfer in Batch Q^* Learning.

Elynn Y. Chen, Xi Chen, Wenbo Jing

CoRR, 2024

Tensor-view Topological Graph Neural Network.

Tao Wen, Elynn Y. Chen, Yuzhou Chen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

MEV Makes Everyone Happy under Greedy Sequencing Rule.

Yuhao Li, Mengqian Zhang, Jichen Li, Elynn Y. Chen, Xi Chen, Xiaotie Deng

Proceedings of the 2023 Workshop on Decentralized Finance and Security, 2023

2022

Transferred Q-learning.

Elynn Y. Chen, Michael I. Jordan, Sai Li

CoRR, 2022

Reinforcement Learning with Heterogeneous Data: Estimation and Inference.

Elynn Y. Chen, Rui Song, Michael I. Jordan

CoRR, 2022

2021

On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification.

Tianyi Lin, Zeyu Zheng, Elynn Y. Chen, Marco Cuturi, Michael I. Jordan

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2019

Low-Rank Principal Eigenmatrix Analysis.

Krishna Balasubramanian, Elynn Y. Chen, Jianqing Fan, Xiang Wu

CoRR, 2019