
Xinyi Chen
61 posts





As someone who loves dynamical systems and control, I've been really excited to see @XinyiChen2 and @HazanPrinceton 's recent papers making control work for deep learning! Very cool insights, both on the architecture and optimization side. I encourage you to check them out! Meta Optimization: arxiv.org/abs/2301.07902 Spectral Transformers: arxiv.org/abs/2312.06837









most exciting paper *ever* from our @GoogleAI lab at @Princeton: @naman33k @danielsuo @XinyiChen2 arxiv.org/abs/2312.06837 *** Convolutional filters predetermined by the theory, no learning needed! ***



See y'all at NeurIPS next week. Presenting Sketchy w @XinyiChen2 Jennifer Sun @_arohan_ @HazanPrinceton. High level blog post: vladfeinberg.com/2023/10/18/ske… Also, looking for student researchers for OCO🤝Control theory+applied internship! HMU @ NOLA

Optimizer tuning can be manual and resource-intensive. Can we learn the best optimizer automatically with guarantees? With @HazanPrinceton, we give new provable methods for learning optimizers using a control approach. Excited about this result! buff.ly/3IoMOkN (1/n)





