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Peimeng Guan

2 accepted papers

2025

SGD Jittering: A Training Strategy for Robust and Accurate Model-Based Architectures

ICML 2025poster

Inverse problems aim to reconstruct unseen data from corrupted or perturbed measurements. While most work focuses on improving reconstruction quality, generalization accuracy and robustness are equally important, especially for safety-critical applications. Model-based architectures (MBAs), such as…

Cited by 0SourcePDFScholar
2022

Delta Distancing: A Lifting Approach to Localizing Items from User Comparisons

ICASSP 2022accepted

A common problem in recommendation systems is to learn a model of user preferences based only on comparisons of the relative attractiveness of different items. We consider this problem in the context of an ideal point model of user preference, where each user can be represented as a point in a low-d…

Cited by 0SourceScholar