4 citations · 4 across the 10 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
math.OC2023
On the Estimation Performance of Generalized Power Method for Heteroscedastic Probabilistic PCA
Jinxin Wang, Chonghe Jiang, Huikang Liu +1
The heteroscedastic probabilistic principal component analysis (PCA) technique, a variant of the classic PCA that considers data heterogeneity, is receiving more and more attention…
cs.LG2023★ 4 cited
Foundation Model is Efficient Multimodal Multitask Model Selector
Fanqing Meng, Wenqi Shao, Zhanglin Peng +4
This paper investigates an under-explored but important problem: given a collection of pre-trained neural networks, predicting their performance on each multi-modal task without fi…