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cs.LG2026
Self-Consuming Generative Models with Co-Evolving Human Preferences
Xiukun Wei, Tian Xie, Ding Zhu +1
Generative models are increasingly trained in self-consuming iterative loops, where users curate preferred samples from model-generated candidates and the curated samples are used…
cs.LG2025
SPRINT: Stochastic Performative Prediction With Variance Reduction
Tian Xie, Ding Zhu, Jia Liu +2
Performative prediction (PP) is an algorithmic framework for optimizing machine learning (ML) models where the model's deployment affects the distribution of the data it is trained…