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Wai Ming Tai
Wai Ming Tai
University of Chicago Booth School of Business
Verified email at chicagobooth.edu
Title
Cited by
Cited by
Year
Near-optimal coresets of kernel density estimates
JM Phillips, WM Tai
Discrete & Computational Geometry 63, 867-887, 2020
522020
Improved coresets for kernel density estimates
JM Phillips, WM Tai
Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete …, 2018
332018
Tracking the frequency moments at all times
Z Huang, WM Tai, K Yi
arXiv preprint arXiv:1412.1763, 2014
12*2014
Finding an approximate mode of a kernel density estimate
JCH Lee, J Li, C Musco, JM Phillips, WM Tai
29th Annual European Symposium on Algorithms (ESA 2021), 2021
7*2021
Optimal Coreset for Gaussian Kernel Density Estimation
WM Tai
arXiv preprint arXiv:2007.08031, 2020
5*2020
The gaussiansketch for almost relative error kernel distance
JM Phillips, WM Tai
arXiv preprint arXiv:1811.04136, 2018
4*2018
Optimal estimation of Gaussian DAG models
M Gao, WM Tai, B Aragam
International Conference on Artificial Intelligence and Statistics, 8738-8757, 2022
22022
Approximate Guarantees for Dictionary Learning
A Bhaskara, WM Tai
Conference on Learning Theory, 299-317, 2019
12019
Learning in practice: Reasoning about quantization
A Cherkaev, W Tai, J Phillips, V Srikumar
arXiv preprint arXiv:1905.11478, 2019
12019
Tight bounds on the hardness of learning simple nonparametric mixtures
B Aragam, WM Tai
arXiv preprint arXiv:2203.15150, 2022
2022
Geometry of Kernel Density Estimation
WM Tai
The University of Utah, 2021
2021
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