Mirah Shi
Email: mirahshi [at] seas.upenn.edu
I'm a second-year PhD student in computer science at the University of Pennsylvania,
where I'm fortunate to be advised by Michael Kearns
and Aaron Roth.
My main interests lie in machine learning theory, game theory, and algorithmic fairness.
I am generally interested in algorithmic problems related to reliable and responsible decision-making.
Before coming to Penn, I received my bachelors in math from Barnard College.
I pronounce my name my-ra shee.
Research
- An Elementary Predictor Obtaining 2\sqrt{T} Distance to Calibration
Eshwar Ram Arunachaleswaran, Natalie Collina, Aaron Roth, Mirah Shi
[arXiv] Preprint
- Forecasting for Swap Regret for All Downstream Agents
Aaron Roth, Mirah Shi
[arXiv] Preprint
- Center-Embedding and Constituency in the Brain and a New Characterization of Context-Free Languages
Daniel Mitropolsky, Adiba Ejaz, Mirah Shi, Christos Papadimitriou, Mihalis Yannakakis
[arXiv] NALOMA 2022
I have also spent time doing research at:
- Pacific Northwest National Lab (Summer 2021)
Hosted by Sinan Aksoy
Teaching
I've been a teaching assistant for the following courses at Penn:
- CIS 6250 Theory of Machine Learning (Fall 2022)
and at Columbia:
- COMS 3261 Computer Science Theory (Spring 2021)