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Neel Guha |
I'm a first year JD-PhD student in Computer Science at Stanford University. I'm affiliated with the Hazy Research Lab, RegLab and Magic Lab. I graduated with a MS in Machine Learning from Carnegie Mellon University ('19) and a BSH in Computer Science from Stanford University ('18).
My CS interests center on machine learning techniques that better incorporate structured forms of reasoning. My legal interests focus on the intersection of machine learning and law, especially as it relates to legal tech, liability, and privacy.
[December 2020] Our work on detecting bias in mobility datasets used in COVID-19 response was accepted to FAccT 2021.
[October 2020] Bootleg is live! We designed a self-supervised NED system for rare entities (getting state-of-the-art on an array of benchmarks in the process). Checkout the blog post, paper, and code.
[August 2020] Excited to be starting as a 1L at Stanford Law!
Leveraging Administrative Data for Bias Audits:
Assessing Disparate Coverage with Mobility Data for COVID-19 Policy
Amanda Coston, Neel Guha, Derek Ouyang, Lisa Lu, Alexandra Chouldechova, Daniel E. Ho.
In FAccT: ACM Conference on Fairness, Accountability, and Transparency, March 2021.
Bootleg: Chasing the Tail with Self-Supervised
Named Entity Disambiguation
Laurel Orr, Megan Leszczynski, Simran Arora, Sen Wu, Neel Guha, Xiao Ling, Christopher Re.
In CIDR: Conference on Innovative Data Systems Research, January 2021.
[Code]
[Blogpost]
[Website]
Machine Learning for AC Optimal Power Flow
Neel Guha, Zhecheng Wang, Matt Wytock, Arun Majumdar.
In Climate Change Workshop (ICML),
June 2019.
Oral Presentation / Honorable Mention for Best Paper
One-Shot Federated Learning
Neel Guha, Ameet Talkwalkar, Virginia Smith
In Workshop on Machine Learning on the Phone and other Consumer Devices (NeurIPs),
December 2018.
Oral Presentation
Knowledge Aggregation via Epsilon Model Spaces
Neel Guha
In Workshop on Common Model Infrastructure Workshop (ACM SIGKDD), August 2018.
Oral Presentation
Medtree: A Search
Engine for Medical Professionals
Neel Guha, Errol Ozdalga, Matthew Wytock
In International Symposium on Web AlGorithms, June 2015.
Short Paper
Spy Watch: a tool for transparency in
web tracking.
Neel Guha
In Privacy Online Workshop (ISWC), September 2013.
Oral Presentation
Program Committee: Adaptive & Multitask Learning Workshop (ICML '19), Climate Change Workshop (NeurIPs '19, '20), Knowledge Representation & Reasoning Meets Machine Learning Workshop (NeurIPS '19), AI + Humanitarian Assistance and Disaster Response Workshop (NeurIPs '20)
Outside of school, I've spent time at Google, Laserlike, the Federal Communications Commission, and Harvard's Institute for Quantative Social Science.