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2020 – today
- 2024
[c7]Wei Yang, Zhengyu Wang, Xiaoyi Mai, Zenan Ling, Robert Caiming Qiu, Zhenyu Liao:
Inconsistency of ESPRIT DoA Estimation for Large Arrays and a Correction via RMT. EUSIPCO 2024: 2722-2726- 2022
- [c6]Xiaoyi Mai, Salman Avestimehr, Antonio Ortega, Mahdi Soltanolkotabi
:
On The Effectiveness of Active Learning by Uncertainty Sampling in Classification of High-Dimensional Gaussian Mixture Data. ICASSP 2022: 4238-4242 - 2021
- [j2]Xiaoyi Mai, Romain Couillet:
Consistent Semi-Supervised Graph Regularization for High Dimensional Data. J. Mach. Learn. Res. 22: 94:1-94:48 (2021) - 2020
- [i3]Xiaoyi Mai, Romain Couillet:
Consistent Semi-Supervised Graph Regularization for High Dimensional Data. CoRR abs/2006.07575 (2020)
2010 – 2019
- 2019
- [c5]Xiaoyi Mai, Zhenyu Liao, Romain Couillet:
A Large Scale Analysis of Logistic Regression: Asymptotic Performance and New Insights. ICASSP 2019: 3357-3361 - [c4]Xiaoyi Mai, Romain Couillet:
Revisiting and Improving Semi-supervised Learning: A Large Dimensional Approach. ICASSP 2019: 3547-3551 - [i2]Xiaoyi Mai, Zhenyu Liao:
High Dimensional Classification via Empirical Risk Minimization: Improvements and Optimality. CoRR abs/1905.13742 (2019) - 2018
- [j1]Xiaoyi Mai:
A Random Matrix Analysis and Improvement of Semi-Supervised Learning for Large Dimensional Data. J. Mach. Learn. Res. 19: 79:1-79:27 (2018) - [c3]Xiaoyi Mai, Romain Couillet:
Semi-Supervised Spectral Clustering. ACSSC 2018: 2012-2016 - [c2]Romain Couillet, Zhenyu Liao, Xiaoyi Mai:
Classification Asymptotics in the Random Matrix Regime. EUSIPCO 2018: 1875-1879 - 2017
- [c1]Xiaoyi Mai, Romain Couillet:
The counterintuitive mechanism of graph-based semi-supervised learning in the big data regime. ICASSP 2017: 2821-2825 - [i1]Xiaoyi Mai, Romain Couillet:
A random matrix analysis and improvement of semi-supervised learning for large dimensional data. CoRR abs/1711.03404 (2017)
Coauthor Index
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