Yair Carmon

Accelerated Methods for NonConvex Optimization

Yair Carmon, John C. Duchi, Oliver Hinder et al. · SIAM Journal on Optimization · 2018 · 207 citations

Numerical Analysis, Mathematical Programming, Nonconvex Optimization Problems +13

Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre et al. · arXiv (Cornell University) · 2022 · 205 citations · Full text

Few-shot Learning, Llm Fine-tuning, Engineering +26

No bad local minima: Data independent training error guarantees for multilayer neural networks

Daniel Soudry, Yair Carmon · arXiv (Cornell University) · 2016 · 159 citations · Full text

Model Optimization, Training Loss, Engineering +13

Lower bounds for non-convex stochastic optimization

Yossi Arjevani, Yair Carmon, John C. Duchi et al. · Mathematical Programming · 2022 · 133 citations

Engineering, Stochastic Optimization, Convex Optimization +4

Unlabeled Data Improves Adversarial Robustness

Yair Carmon, Aditi Raghunathan, Ludwig Schmidt et al. · arXiv (Cornell University) · 2019 · 73 citations · Full text

Artificial Intelligence, Data Augmentation, Adversarial Robustness +15