How can intelligent agents reuse and adapt their knowledge to quickly solve new tasks?
This question drives my work on multi-task and meta-learning, with a special focus on discovering inductive biases for transfer and adaptation.
I completed my undergraduate at USC, double majoring in computer science and mathematics. During that time, I was fortunate to work on robotics with Francisco Valero-Cuevas and optimization with Chunming Wang.
I am also an avid skier.
Note I am seeking internships for Summer '22 (expected graduation: December '22).
Uniform Sampling over Episode Difficulty - August 12, 2021
Following my 2020 Amazon internship, our preprint Uniform Sampling over Episode Difficulty is available on ArXiv. [ArXiv]
Summer at Amazon Prime - April 23, 2021
I will be spending another summer at Amazon, with the Prime team in Seattle, WA.
When MAML Can Adapt Fast and How to Assist When It Cannot - January 22, 2021
Our manuscript on When MAML Can Adapt Fast and How to Assist When It Cannot was accepted at AISTATS 2021. Open-source implementation in learn2learn is now available.
[ArXiv, pdf, web, code]
Summer at Amazon AI - April 1, 2020
I will be spending the summer at Amazon AI in Pasadena, CA.
Decoupling Adaptation from Modeling with Meta-Optimizers - November 17, 2019
Our preprint on Decoupling Adaptation from Modeling with Meta-Optimizers for Meta-Learning is available on ArXiv. Open-source implementation in learn2learn coming soon! [ArXiv, pdf]
Implicit Gradient Transport - September 5, 2019
Our paper on Reducing the variance in online optimization by transporting past gradients was accepted at NeurIPS as a spotlight contribution. [ArXiv, pdf, website, code]
Open-Sourcing learn2learn - August 20, 2019
Our submission to the PyTorch Summer Hackathon won best in show! Check out the website to learn how to easily implement meta-learning algorithms with learn2learn. [website, code]
East European Summer School - June 5, 2019
I will be attending the East-European Summer School this summer. Get in touch if you will too!
Edit: My poster got lucky and received the best theory poster award!