Augenstein, Sean

5 publications

NeurIPS 2025 Gatekeeper: Improving Model Cascades Through Confidence Tuning Stephan Rabanser, Nathalie Rauschmayr, Achin Kulshrestha, Petra Poklukar, Wittawat Jitkrittum, Sean Augenstein, Congchao Wang, Federico Tombari

ICMLW 2024 DrJAX: Scalable and Differentiable MapReduce Primitives in JAX J Keith Rush, Zachary Charles, Zachary Garrett, Sean Augenstein, Nicole Elyse Mitchell

CVPR 2023 Learning to Generate Image Embeddings with User-Level Differential Privacy Zheng Xu, Maxwell Collins, Yuxiao Wang, Liviu Panait, Sewoong Oh, Sean Augenstein, Ting Liu, Florian Schroff, H. Brendan McMahan

NeurIPSW 2021 Jointly Learning from Decentralized (Federated) and Centralized Data to Mitigate Distribution Shift Sean Augenstein, Andrew Hard, Kurt Partridge, Rajiv Mathews

ICLR 2020 Generative Models for Effective ML on Private, Decentralized Datasets Sean Augenstein, H. Brendan McMahan, Daniel Ramage, Swaroop Ramaswamy, Peter Kairouz, Mingqing Chen, Rajiv Mathews, Blaise Aguera y Arcas