1 code implementation • 22 May 2024 • Rheeya Uppaal, Apratim Dey, Yiting He, Yiqiao Zhong, Junjie Hu
Furthermore, these tuning-based methods require large-scale preference data for training and are susceptible to noisy preference data.
no code implementations • 1 Apr 2024 • Matthias Gerstgrasser, Rylan Schaeffer, Apratim Dey, Rafael Rafailov, Henry Sleight, John Hughes, Tomasz Korbak, Rajashree Agrawal, Dhruv Pai, Andrey Gromov, Daniel A. Roberts, Diyi Yang, David L. Donoho, Sanmi Koyejo
The proliferation of generative models, combined with pretraining on web-scale data, raises a timely question: what happens when these models are trained on their own generated outputs?
no code implementations • 29 Sep 2022 • Matthieu Stigler, Apratim Dey, Andrew Hobbs, David Lobell
More precisely, we derive the asymptotic distribution of the relative share of the first eigenvalue of the covariance matrix, a measure of systematic risk in index insurance.