My Erdős number is 4, via Romain Couillet, Zhidong Bai, and Gutti Jogesh Babu.
News
I will be talking about the interface between RMT and ML at School of Physical & Mathematical Sciences, Nanyang Technological University (NTU), see slides here.
I will be talking about some recent work on the interaction between RMT and machine learning at the SDS Workshop on “Topics in Random Matrix Theory” at CUHK-Shenzhen, see more details here!
Happy to announce the 2022 Joint Workshop on “Mathematics for Data Science” between HUST and University Paris-Saclay taking place in Sep 22-23 2022 on zoom! Time: 9:00-12:00 Paris time and 15:00-18:00 Beijing Time. See the detailed schedule here and the playback here (for Sep 22) and here (for Sep 23)!
One paper at NeurIPS'2022 on the eigenspectral structure of Neural Tangent Kernel (NTK) of fully-connected Deep neural networks for Gaussian mixture input data, with a compelling application to “lossless” sparsification and quantization of DNN models! This extends our previous paper at ICLR'2022. See more details here.
I’m very grateful to be supported by the CCF-Hikvision Open Fund on my research on the theory of neural network model compression (together with Dr. Kai Wan), see more details here.
One oral paper (top 1% submission) at NeurIPS'2021 on the Hessian eigenspectra of generalized linear models, check our preprint here!
One paper on “Sparse sketches with small inversion bias” accepted at COLT'2021, check our preprint here!
For more information please refer to my detailed CV.