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2020 – today
- 2026
[i2]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:
The Finetuner's Fallacy: When to Pretrain with Your Finetuning Data. CoRR abs/2603.16177 (2026)- 2025
- [c3]Mobin Y. Jeloudar
, Irene Lo, Katherine L. Mentzer:
Optimization Meets Participation: Iterative Zone Generation for School Assignment. EAAMO 2025: 297 - 2024
- [c2]Katherine L. Mentzer, Andrea Montanari:
Scaling Training Data with Lossy Image Compression. KDD 2024: 2212-2223 - [i1]Katherine L. Mentzer, Andrea Montanari:
Scaling Training Data with Lossy Image Compression. CoRR abs/2407.17954 (2024) - 2022
- [c1]Maxwell Allman, Itai Ashlagi, Irene Lo, Juliette Love, Katherine L. Mentzer, Lulabel Ruiz-Setz, Henry O'Connell:
Designing School Choice for Diversity in the San Francisco Unified School District. EC 2022: 290-291
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