A Random Matrix Approach to Neural Networks C Louart, Z Liao, R Couillet The Annals of Applied Probability 28 (2), 1190-1248, 2018 | 32 | 2018 |

A Large Dimensional Analysis of Least Squares Support Vector Machines Z Liao, R Couillet IEEE Transactions on Signal Processing 67 (4), 1065-1074, 2019 | 21 | 2019 |

On the Spectrum of Random Features Maps of High Dimensional Data Z Liao, R Couillet Proceedings of the 35th International Conference on Machine Learning 80 …, 2018 | 9 | 2018 |

The Dynamics of Learning: A Random Matrix Approach Z Liao, R Couillet Proceedings of the 35th International Conference on Machine Learning 80 …, 2018 | 9 | 2018 |

Classification Asymptotics in the Random Matrix Regime R Couillet, Z Liao, X Mai 26th European Signal Processing Conference (EUSIPCO), 1875-1879, 2018 | 8 | 2018 |

Random Matrices Meet Machine Learning: A Large Dimensional Analysis of LS-SVM Z Liao, R Couillet 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 5 | 2017 |

A Geometric Approach of Gradient Descent Algorithms in Neural Networks Y Chitour, Z Liao, R Couillet arXiv preprint arXiv:1811.03568, 2018 | 1 | 2018 |

Inner-product Kernels are Asymptotically Equivalent to Binary Discrete Kernels Z Liao, R Couillet arXiv preprint arXiv:1909.06788, 2019 | | 2019 |

High Dimensional Classification via Empirical Risk Minimization: Improvements and Optimality X Mai, Z Liao arXiv preprint arXiv:1905.13742, 2019 | | 2019 |

A Large Scale Analysis of Logistic Regression: Asymptotic Performance and New Insights X Mai, Z Liao, R Couillet 2019 IEEE International Conference on Acoustics, Speech and Signal …, 2019 | | 2019 |

On Inner-product Kernels of High Dimensional Data Z Liao, R Couillet | | |