Elynn Y. Chen

According to our database, Elynn Y. Chen authored at least 30 papers between 2019 and 2026.

Collaborative distances:

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

2026

Learning to Hand Off: Provably Convergent Workflow Learning under Interface Constraints.

Jiayu Li, Enpei Zhang, Dawei Zhou, Elynn Chen, Yujun Yan

CoRR, May, 2026

Dual-Channel Tensor Neural Networks: Finite-Sample Theory and Conformal Structure Selection.

Elynn Chen, Jiayu Li, Zheshi Zheng, Jian Pei

CoRR, May, 2026

Transfer Learning for Contextual Joint Assortment-Pricing under Cross-Market Heterogeneity.

Elynn Chen, Xi Chen, Yi Zhang

CoRR, March, 2026

Quantifying Epistemic Uncertainty in Diffusion Models.

Aditi Gupta, Raphael A. Meyer, Yotam Yaniv, Elynn Chen, N. Benjamin Erichson

CoRR, February, 2026

Optimistic Transfer under Task Shift via Bellman Alignment.

Jinhang Chai, Enpei Zhang, Elynn Chen, Yujun Yan

CoRR, January, 2026

Low-Rank Plus Sparse Matrix Transfer Learning under Growing Representations and Ambient Dimensions.

Jinhang Chai, Xuyuan Liu, Elynn Chen, Yujun Yan

CoRR, January, 2026

2025

High-Dimensional Tensor Discriminant Analysis: Low-Rank Discriminant Structure, Representation Synergy, and Theoretical Guarantees.

Elynn Chen, Yuefeng Han, Jiayu Li

CoRR, December, 2025

Seeing Through the Brain: New Insights from Decoding Visual Stimuli with fMRI.

Zheng Huang, Enpei Zhang, Yinghao Cai, Weikang Qiu, Carl Yang, Elynn Chen, Xiang Zhang, Rex Ying, Dawei Zhou, Yujun Yan

CoRR, October, 2025

Prior-Aligned Meta-RL: Thompson Sampling with Learned Priors and Guarantees in Finite-Horizon MDPs.

Runlin Zhou, Chixiang Chen, Elynn Chen

CoRR, October, 2025

Transfer Faster, Price Smarter: Minimax Dynamic Pricing under Cross-Market Preference Shift.

Yi Zhang, Elynn Chen, Yujun Yan

CoRR, May, 2025

Transition Transfer <i>Q</i>-Learning for Composite Markov Decision Processes.

Jinhang Chai, Elynn Y. Chen, Lin Yang

CoRR, February, 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

Maximal Extractable Value in Batch Auctions.

Mengqian Zhang, Yuhao Li, Xinyuan Sun, Elynn Y. Chen, Xi Chen

Proceedings of the 26th ACM Conference on Economics and Computation, 2025

Tensor-Fused Multi-view Graph Contrastive Learning.

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

Proceedings of the Data Science: Foundations and Applications, 2025

Transfer Q-Learning with Composite MDP Structures.

Jinhang Chai, Elynn Y. Chen, Lin Yang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Time-Varying Factor-Augmented Models for Volatility Forecasting.

Duo Zhang, Jiayu Li, Junyi Mo, Elynn Chen

Proceedings of the 6th ACM International Conference on AI in Finance, 2025

ACT-Tensor: Tensor Completion Framework for Financial Dataset Imputation.

Junyi Mo, Jiayu Li, Duo Zhang, Elynn Chen

Proceedings of the 6th ACM International Conference on AI in Finance, 2025

Bridging Domain Adaptation and Graph Neural Networks: A Tensor-Based Framework for Effective Label Propagation.

Tao Wen, Elynn Y. Chen, Yuzhou Chen, Qi Lei

Proceedings of the Conference on Parsimony and Learning, 2025

Conditional Prediction ROC Bands for Graph Classification.

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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

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

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

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

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