Tianren Peng

According to our database, Tianren Peng authored at least 10 papers between 2022 and 2025.

Collaborative distances:

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

2025

LoRA-DA: Data-Aware Initialization for Low-Rank Adaptation via Asymptotic Analysis.

Qingyue Zhang, Chang Chu, Tianren Peng, Qi Li, Xiangyang Luo, Zhihao Jiang, Shao-Lun Huang

CoRR, October, 2025

On Theoretical Interpretations of Concept-Based In-Context Learning.

Huaze Tang, Tianren Peng, Shao-Lun Huang

CoRR, September, 2025

A Theoretical Framework for Data Efficient Multi-Source Transfer Learning Based on Cramér-Rao Bound.

Qingyue Zhang, Haohao Fu, Guanbo Huang, Yaoyuan Liang, Chang Chu, Tianren Peng, Yanru Wu, Qi Li, Yang Li, Shao-Lun Huang

CoRR, February, 2025

Information-Geometric Analysis of the Optimal Error Exponent in Fixed-Length Hypothesis Testing.

Qingyue Zhang, Xinyi Tong, Tianren Peng, Shao-Lun Huang

Proceedings of the IEEE International Symposium on Information Theory, 2025

On the Optimal Second-Order Convergence Rate of Minimax Estimation Under Weighted Mse.

Tianren Peng, Qi Li, Shao-Lun Huang

Proceedings of the IEEE International Symposium on Information Theory, 2025

2024

The Second-Order Perspectives of Minimax Parameter Estimation in Restricted Space with Weighted Squared Error Loss.

Tianren Peng, Xinyi Tong, Shao-Lun Huang

Proceedings of the IEEE Information Theory Workshop, 2024

On the Asymptotic HGR Maximal Correlation of Gaussian Markov Chain.

Tianren Peng, Xinyi Tong, Shao-Lun Huang

Proceedings of the IEEE Information Theory Workshop, 2024

Second-Order Characterization of Minimax Parameter Estimation in Restricted Parameter Space.

Tianren Peng, Xinyi Tong, Shao-Lun Huang

Proceedings of the IEEE International Symposium on Information Theory, 2024

2023

An Information Theoretic Approach for Collaborative Distributed Parameter Estimation.

Xinyi Tong, Tianren Peng, Shao-Lun Huang

Proceedings of the IEEE International Symposium on Information Theory, 2023

2022

A Mathematical Framework to Characterize the Dependency Structures in Multimodal Learning with Minimax Principle.

Tianren Peng, Weida Wang, Shao-Lun Huang

Proceedings of the IEEE International Symposium on Information Theory, 2022