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Tianren Peng
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2020 – today
- 2025
[c7]Tianren Peng, Qi Li, Shao-Lun Huang:
On the Optimal Second-Order Convergence Rate of Minimax Estimation Under Weighted Mse. ISIT 2025: 1-6
[c6]Qingyue Zhang, Xinyi Tong, Tianren Peng, Shao-Lun Huang:
Information-Geometric Analysis of the Optimal Error Exponent in Fixed-Length Hypothesis Testing. ISIT 2025: 1-6
[i3]Qingyue Zhang, Haohao Fu, Guanbo Huang, Yaoyuan Liang, Chang Chu, Tianren Peng, Yanru Wu, Qi Li, Yang Li, Shao-Lun Huang:
A Theoretical Framework for Data Efficient Multi-Source Transfer Learning Based on Cramér-Rao Bound. CoRR abs/2502.04242 (2025)
[i2]Huaze Tang, Tianren Peng, Shao-Lun Huang:
On Theoretical Interpretations of Concept-Based In-Context Learning. CoRR abs/2509.20882 (2025)
[i1]Qingyue Zhang, Chang Chu, Tianren Peng, Qi Li, Xiangyang Luo, Zhihao Jiang, Shao-Lun Huang:
LoRA-DA: Data-Aware Initialization for Low-Rank Adaptation via Asymptotic Analysis. CoRR abs/2510.24561 (2025)- 2024
[c5]Tianren Peng, Xinyi Tong, Shao-Lun Huang:
Second-Order Characterization of Minimax Parameter Estimation in Restricted Parameter Space. ISIT 2024: 3420-3425
[c4]Tianren Peng, Xinyi Tong, Shao-Lun Huang:
On the Asymptotic HGR Maximal Correlation of Gaussian Markov Chain. ITW 2024: 277-282
[c3]Tianren Peng, Xinyi Tong, Shao-Lun Huang:
The Second-Order Perspectives of Minimax Parameter Estimation in Restricted Space with Weighted Squared Error Loss. ITW 2024: 526-531- 2023
[c2]Xinyi Tong, Tianren Peng, Shao-Lun Huang:
An Information Theoretic Approach for Collaborative Distributed Parameter Estimation. ISIT 2023: 1878-1883- 2022
[c1]Tianren Peng, Weida Wang, Shao-Lun Huang:
A Mathematical Framework to Characterize the Dependency Structures in Multimodal Learning with Minimax Principle. ISIT 2022: 1489-1494
Coauthor Index

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