When does preconditioning help or hurt generalization?

I am a fifth year Ph.D candidate in Computer Science Department at Columbia University. My two advisors are Prof. Daniel Hsu (Computer Science Department) and Prof. Arian Maleki (Statistics Department). My research focuses on high dimensional statistics and machine learning algorithm.

"Approximate message passing for amplitude-based optimization." International Conference on Machine Learning (ICML), 2018 (Long Talk + Travel Award). Risk estimation of leave-one-out cross validation (LO) in high dimension regime via approximate message passing (AMP). Ji Xu, Arian Maleki, Kamiar Rahnama Rad, Daniel Hsu.

Xu serves as a reviewer for the prestigious journals of IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Emerging Topics in Computational Intelligence, Pattern Recognition, and International Journal of …

2022年8月17日 · This study first construct a leading forest that forms a partially ordered topological space in an unsupervised way, and select a group of most representative samples …

Graph based semi-supervised learning (GSSL) has intuitive representation and can be improved by exploiting the matrix calculation.

I am a tenure-track associate professor in the school of computer science and engineering at Southeast University, starting from fall 2021. Before that, I was a postdoctoral researcher in CT research group in Department of Medical Physics at University of Wisconsin-Madison advised by Dr. Guang-Hong Chen and Dr. Ke Li.

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‪School of Computer Science and Engineering, Southeast University‬ - ‪‪Cited by 386‬‬ - ‪X-ray imaging‬ - ‪Computed tomography‬

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