Kaiwen Wu

PhD Student

Computer and Information Science
University of Pennsylvania

Email: kaiwenwu@seas.upenn.edu

Links to GitHub, Twitter, Google Scholar

How to pronounce my first name

About Me

I am a third-year PhD student in computer and information science at the University of Pennsylvania, advised by Jacob Gardner. Previously, I completed my MMath degree in computer science at the University of Waterloo, where I worked on trustworthy machine learning with Yaoliang Yu. I did my undergraduate at Nanjing University.

I am interested in machine learning and optimization. My recent work focuses on scaling up computation in probabilistic machine learning. Specifically, I work on Gaussian processes, variational inference, and Bayesian optimization. I have side interests in convex optimization and deep generative modeling.


* indicates equal contribution. See Google Scholar for a complete list of publications.


I have a blog.

I write notes when I have time.

My writing pet peeves

I have reviewed (or will review) for the following conferences: AAAI 2021, AISTATS 2021, ICML 2023, NeurIPS 2023, ICLR 2024, AISTATS 2024, ICML 2024, NeurIPS 2024