Rosie Zhao
Hi there! I’m a second year PhD student in Computer Science at Harvard University advised by Boaz Barak and Sham Kakade. I’m interested in reinforcement learning, language models, and broadly establishing machine learning foundations. I previously completed my undergrad and Master’s at McGill University under the supervision of Prakash Panangaden; there, my research was geared towards representation learning and state abstractions in RL, as well as various topics in theoretical computer science.
My socials can be found below.
news
Nov 13, 2023 | New preprint on explaining why “Fourier features” emerge in neural networks when learning modular addition (and composition for finite groups), using max-margin analysis! In collaboration with Depen Morwani, Ben Edelman, Costin-Andrei Oncescu, and Sham Kakade. |
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Oct 10, 2023 | Started as a visiting researcher at ServiceNow Research in Montreal working with Alexandre Piché at the intersection of RL and LLMs! |
Aug 25, 2023 | Work on Loss of Plasticity in Deep Continual RL was accepted as an oral to CoLLAs 2023! In collaboration with some wonderful researchers at Deepmind Alberta: Zaheer Abbas, Joseph Modayil, Adam White, and Marlos Machado. |
Jun 14, 2023 | New preprint on the insignificance of SGD noise in online (single-epoch) learning! Done in collaboration with Nikhil Vyas, Depen Morwani, Gal Kaplun, Boaz Barak, and Sham Kakade. |