PEARL: Performance-enhanced Aggregated Representation Learning

Time：Thur., 16:00-17:00, Mar. 27, 2025

Venue：B725, Shuangqing Complex Building A

Speaker：Xinyu Zhang

Speaker：

Xinyu Zhang (CAS)

Time：

Thur., 16:00-17:00, Mar. 27, 2025

Venue：

B725, Shuangqing Complex Building A

Abstract:

This paper studies the general framework of representation learning and develops a frequentist model averaging framework to combine diﬀerent representation learning methods. The weight choice criterion is K-fold cross-validation criterion. We prove the asymptotic optimality and the weight consistency. Numerical studies and real-data analysis demonstrate the superior performance of the proposed method.

DATEMarch 26, 2025

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