Alex Bie

According to our database, Alex Bie authored at least 10 papers between 2019 and 2024.

Collaborative distances:

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

2024

Understanding the Role of Layer Normalization in Label-Skewed Federated Learning.

Guojun Zhang, Mahdi Beitollahi, Alex Bie, Xi Chen

Trans. Mach. Learn. Res., 2024

Parametric Feature Transfer: One-shot Federated Learning with Foundation Models.

Mahdi Beitollahi, Alex Bie, Sobhan Hemati, Leo Maxime Brunswic, Xu Li, Xi Chen, Guojun Zhang

CoRR, 2024

Private prediction for large-scale synthetic text generation.

Kareem Amin, Alex Bie, Weiwei Kong, Alexey Kurakin, Natalia Ponomareva, Umar Syed, Andreas Terzis, Sergei Vassilvitskii

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Private GANs, Revisited.

Alex Bie, Gautam Kamath, Guojun Zhang

Trans. Mach. Learn. Res., 2023

Normalization Is All You Need: Understanding Layer-Normalized Federated Learning under Extreme Label Shift.

Guojun Zhang, Mahdi Beitollahi, Alex Bie, Xi Chen

CoRR, 2023

Private Distribution Learning with Public Data: The View from Sample Compression.

Shai Ben-David, Alex Bie, Clément L. Canonne, Gautam Kamath, Vikrant Singhal

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Distribution Learnability and Robustness.

Shai Ben-David, Alex Bie, Gautam Kamath, Tosca Lechner

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Private Estimation with Public Data.

Alex Bie, Gautam Kamath, Vikrant Singhal

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence.

Tianshi Cao, Alex Bie, Arash Vahdat, Sanja Fidler, Karsten Kreis

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Fully Quantizing a Simplified Transformer for End-to-end Speech Recognition.

Alex Bie, Bharat Venkitesh, Joao Monteiro, Md. Akmal Haidar, Mehdi Rezagholizadeh

CoRR, 2019