Alex Bie

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Text Generation

Speech Recognition

Differentially Private

Top Venues

Trans. Mach. Learn. Res.

Publications

Mahdi Beitollahi, Alex Bie, Sobhan Hemati, Leo Maxime Brunswic, Xu Li, Xi Chen, Guojun Zhang
Parametric Feature Transfer: One-shot Federated Learning with Foundation Models. CoRR (2024)
Kareem Amin, Alex Bie, Weiwei Kong, Alexey Kurakin, Natalia Ponomareva, Umar Syed, Andreas Terzis, Sergei Vassilvitskii
Private prediction for large-scale synthetic text generation. CoRR (2024)
Guojun Zhang, Mahdi Beitollahi, Alex Bie, Xi Chen
Understanding the Role of Layer Normalization in Label-Skewed Federated Learning. Trans. Mach. Learn. Res. 2024 (2024)
Shai Ben-David, Alex Bie, Gautam Kamath, Tosca Lechner
Distribution Learnability and Robustness. CoRR (2024)
Guojun Zhang, Mahdi Beitollahi, Alex Bie, Xi Chen
Normalization Is All You Need: Understanding Layer-Normalized Federated Learning under Extreme Label Shift. CoRR (2023)
Shai Ben-David, Alex Bie, Gautam Kamath, Tosca Lechner
Distribution Learnability and Robustness. NeurIPS (2023)
Alex Bie, Gautam Kamath, Guojun Zhang
Private GANs, Revisited. CoRR (2023)
Shai Ben-David, Alex Bie, Clément L. Canonne, Gautam Kamath, Vikrant Singhal
Private Distribution Learning with Public Data: The View from Sample Compression. CoRR (2023)
Shai Ben-David, Alex Bie, Clément L. Canonne, Gautam Kamath, Vikrant Singhal
Private Distribution Learning with Public Data: The View from Sample Compression. NeurIPS (2023)
Alex Bie, Gautam Kamath, Guojun Zhang
Private GANs, Revisited. Trans. Mach. Learn. Res. 2023 (2023)
Alex Bie, Gautam Kamath, Vikrant Singhal
Private Estimation with Public Data. CoRR (2022)
Alex Bie, Gautam Kamath, Vikrant Singhal
Private Estimation with Public Data. NeurIPS (2022)
Tianshi Cao, Alex Bie, Arash Vahdat, Sanja Fidler, Karsten Kreis
Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence. CoRR (2021)
Tianshi Cao, Alex Bie, Arash Vahdat, Sanja Fidler, Karsten Kreis
Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence. NeurIPS (2021)
Alex Bie, Bharat Venkitesh, Joao Monteiro, Md. Akmal Haidar, Mehdi Rezagholizadeh
Fully Quantizing a Simplified Transformer for End-to-end Speech Recognition. CoRR (2019)