Katherine L. Mentzer

According to our database, Katherine L. Mentzer authored at least 4 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

The Finetuner's Fallacy: When to Pretrain with Your Finetuning Data.

Christina Baek, Ricardo Pio Monti, David Schwab, Amro Abbas, Rishabh Adiga, Cody Blakeney, Maximilian Böther, Paul Burstein, Aldo Gael Carranza, Alvin Deng, Parth Doshi, Vineeth Dorna, Alex Fang, Tony Jiang, Siddharth Joshi, Brett W. Larsen, Jason Chan Lee, Katherine L. Mentzer, Luke Merrick, Haakon Mongstad, Fan Pan, Anshuman Suri, Darren Teh, Jason Telanoff, Jack Urbanek, Zhengping Wang, Josh Wills, Haoli Yin, Aditi Raghunathan, J. Zico Kolter, Bogdan Gaza, Ari Morcos, Matthew L. Leavitt, Pratyush Maini

CoRR, March, 2026

2025

Optimization Meets Participation: Iterative Zone Generation for School Assignment.

Mobin Y. Jeloudar, Irene Lo, Katherine L. Mentzer

Proceedings of the 5th ACM Conference on Equity and Access in Algorithms, 2025

2024

Scaling Training Data with Lossy Image Compression.

Katherine L. Mentzer, Andrea Montanari

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2022

Designing School Choice for Diversity in the San Francisco Unified School District.

Maxwell Allman, Itai Ashlagi, Irene Lo, Juliette Love, Katherine L. Mentzer, Lulabel Ruiz-Setz, Henry O'Connell

Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022