Peter H. Jin

cuw@rrpf.orexryrl.rqh

I’m a Computer Science PhD student in the ASPIRE lab, where I’m part of Kurt Keutzer’s group. My current work is on stochastic optimization methods for deep learning, including parallel/distributed learning and new algorithms. I’m also interested in all things related to Monte Carlo tree search and GPUs.

I received my AB in Physics from Princeton University in 2012.

Preprints

How to scale distributed deep learning?

Peter H. Jin, Qiaochu Yuan, Forrest Iandola, and Kurt Keutzer
To be presented at the NIPS ML Systems Workshop 2016
[arxiv]

Convolutional Monte Carlo Rollouts in Go

Peter H. Jin and Kurt Keutzer
Presented at the CG 2016 Neural Networks Workshop
[arxiv]

Piper: Likelihood-Based Genome Assembly

Ma’ayan Bresler, Ravi Pandya, Peter H. Jin, and Yun S. Song. 2014.