Portfolio item number 1
Short description of portfolio item number 1
Posts by Collection
portfolio
Portfolio item number 2
Short description of portfolio item number 2
publications
Noisy Subgraph Isomorphisms on Multiplex Networks
Hui Jin, Xie He, Yanghui Wang, Hao Li, Andrea L Bertozzi, 2019.
Published in 2019 IEEE International Conference on Big Data (Big Data).
Download [pdf].
Implicit bias of gradient descent for mean squared error regression with wide neural networks
Hui Jin, Guido Montúfar, 2020.
Journal of Machine Learning Research JMLR 24(137):1-97, 2023. Repo GitHub.
Learning curves for Gaussian process regression with power-law priors and targets
Hui Jin, Pradeep Kr Banerjee, Guido Montúfar, 2021.
Published in The Tenth International Conference on Learning Representations (ICLR 2022).
Workshop version presented at Workshop on Bayesian Deep Learning NeurIPS, 2021.
Characterizing the Spectrum of the NTK via a Power Series Expansion
Michael Murray, Hui Jin, Benjamin Bowman, Guido Montufar, 2022.
Published in The Eleventh International Conference on Learning Representations (ICLR 2023).
Download [pdf].
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
2020 Fall: PIC 10B Intermediate Programming
Undergraduate course, UCLA, 2020
Abstract data types and their implementation using C++ class mechanism; dynamic data structures, including linked lists, stacks, queues, trees, and hash tables; applications; object-oriented programming and software reuse; recursion; algorithms for sorting and searching.
2021 Fall: PIC 16A Python with Applications I
Undergraduate course, UCLA, 2021
Core Python language constructs, applications, text processing, data visualization, interaction with spreadsheets and machine learning.