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Wai Ming Tai
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Near-optimal coresets of kernel density estimates
JM Phillips, WM Tai
Discrete & Computational Geometry 63, 867-887, 2020
712020
Improved coresets for kernel density estimates
JM Phillips, WM Tai
Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete …, 2018
412018
Tracking the frequency moments at all times
Z Huang, WM Tai, K Yi
arXiv preprint arXiv:1412.1763, 2014
15*2014
Optimal estimation of Gaussian DAG models
M Gao, WM Tai, B Aragam
International Conference on Artificial Intelligence and Statistics, 8738-8757, 2022
102022
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
10*2021
Optimal Coreset for Gaussian Kernel Density Estimation
WM Tai
arXiv preprint arXiv:2007.08031, 2020
9*2020
The gaussiansketch for almost relative error kernel distance
P Jeff, T Wai Ming
International Conference on Randomization and Computation (RANDOM), 2020
5*2020
Approximate Guarantees for Dictionary Learning
A Bhaskara, WM Tai
Conference on Learning Theory, 299-317, 2019
22019
Tight Bounds on the Hardness of Learning Simple Nonparametric Mixtures
WM Tai, B Aragam
The Thirty Sixth Annual Conference on Learning Theory, 2849-2849, 2023
12023
Learning in practice: Reasoning about quantization
A Cherkaev, W Tai, J Phillips, V Srikumar
arXiv preprint arXiv:1905.11478, 2019
12019
Inconsistency of cross-validation for structure learning in Gaussian graphical models
Z Lyu, WM Tai, M Kolar, B Aragam
International Conference on Artificial Intelligence and Statistics, 3691-3699, 2024
2024
Optimal estimation of Gaussian (poly) trees
Y Wang, M Gao, WM Tai, B Aragam, A Bhattacharyya
arXiv preprint arXiv:2402.06380, 2024
2024
On Mergable Coresets for Polytope Distance
B Shi, A Bhaskara, WM Tai, JM Phillips
arXiv preprint arXiv:2311.05651, 2023
2023
Learning mixtures of Gaussians with censored data
WM Tai, B Aragam
International Conference on Machine Learning, 33396-33415, 2023
2023
Optimal neighbourhood selection in structural equation models
M Gao, WM Tai, B Aragam
arXiv preprint arXiv:2306.02244, 2023
2023
Geometry of Kernel Density Estimation
WM Tai
The University of Utah, 2021
2021
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–16