Kenny Peng

Kenny Peng

I am a second-year computer science PhD student at Cornell. Previously, I completed my undergraduate degree in mathematics at Princeton, where I was lucky to work closely with Arvind Narayanan and Evita Nestoridi.

I study interactions between machine learning, algorithmic decision-making, and society.


REFORMS: Reporting Standards for Machine Learning Based Science

Sayash Kapoor, Emily Cantrell, Kenny Peng, Thanh Hien Pham, Christopher A. Bail, Odd Erik Gundersen, Jake M. Hofman, Jessica Hullman, Michael A. Lones, Momin M. Malik, Priyanka Nanayakkara, Russell A. Poldrack, Inioluwa Deborah Raji, Michael Roberts, Matthew J. Salganik, Marta Serra-Garcia, Brandon M. Stewart, Gilles Vandewiele, Arvind Narayanan

Working paper

Reconciling the accuracy-diversity trade-off in recommendations

Kenny Peng, Manish Raghavan, Emma Pierson, Jon Kleinberg, Nikhil Garg

Working paper

Large language models shape and are shaped by society: A survey of arXiv publication patterns

Rajiv Movva, Sidhika Balachandar, Kenny Peng, Gabriel Agostini, Nikhil Garg, Emma Pierson

Working paper

Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers

Kenny Peng, Arunesh Mathur, Arvind Narayanan

NeurIPS 2021, Track on Datasets and Benchmarks, Oral Presentation

Covered in MIT Technology Review, Nature, VentureBeat. Summarized in this Twitter thread.

Mixing Times of One-sided k-transposition Shuffles

Evita Nestoridi and Kenny Peng

Under revision at Annals of Applied Probability

Deep Residual Networks Preserve Expected Length

Kenny Peng

Undergraduate thesis advised by Boris Hanin

Sigma Xi Book Award for outstanding undergraduate research in mathematics

Miscellaneous Work / Teaching / Outreach