Low-Rank Tucker Approximation of a Tensor From Streaming Data

Yang Guo , Yiming Sun , Charlene Luo , Joel Tropp
arXiv: Numerical Analysis

5
2019
"Why Should You Trust My Explanation?" Understanding Uncertainty in LIME Explanations

Madeleine Udell , Sarah Tan , Yiming Sun , Kuangyan Song
arXiv: Learning

85
2019
FrequentNet : A New Interpretable Deep Learning Baseline for Image Classification

Yiming Sun , Kuangyan Song , Zheng Wang , Yifei Li
arXiv: Computer Vision and Pattern Recognition

2020
Detection boundary and Higher Criticism approach for rare and weak genetic effects

Zheyang Wu , Yiming Sun , Shiquan He , Judy Cho
The Annals of Applied Statistics 8 ( 2) 824 -851

13
2014
Low-Rank Tucker Approximation of a Tensor from Streaming Data

Yiming Sun , Yang Guo , Charlene Luo , Joel Tropp
SIAM Journal on Mathematics of Data Science 2 ( 4) 1123 -1150

14
2020
Why should you trust my explanation?

Yujia Zhang , Kuangyan Song , Yiming Sun , Sarah Tan
Understanding uncertainty in LIME explanations 4

73
2019
Tensor random projection for low memory dimension reduction

Yiming Sun , Yang Guo , Joel A Tropp , Madeleine Udell
arXiv preprint arXiv:2105.00105

47
2021
Large spectral density matrix estimation by thresholding

Yiming Sun , Yige Li , Amy Kuceyeski , Sumanta Basu
arXiv preprint arXiv:1812.00532

24
2018
FrequentNet: A New Deep Learning Baseline for Image Classification

Yifei Li , Zheng Wang , Kuangyan Song , Yiming Sun
arXiv preprint arXiv:2001.01034

1
2020
Kernel Distillation for Gaussian Processes

Congzheng Song , Yiming Sun
NIPS Workshop on All of Bayesian Nonparametrics (Spotlights at BNP@NIPS)

1
2018