24 citations · 71 across the 16 of their papers we have counts for
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cs.LG2022
Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models
Yong Zhong, Hongtao Liu, Xiaodong Liu +3
Deep generative models (DGMs) are data-eager because learning a complex model on limited data suffers from a large variance and easily overfits. Inspired by the classical perspecti…
cs.LG2019★ 1 cited
Learning to Clear the Market
Weiran Shen, Sébastien Lahaie, Renato Paes Leme
The problem of market clearing is to set a price for an item such that quantity demanded equals quantity supplied. In this work, we cast the problem of predicting clearing prices i…