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2020 – today
- 2024
[j2]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)- [c5]Kareem Amin, Alex Bie, Weiwei Kong, Alexey Kurakin, Natalia Ponomareva, Umar Syed, Andreas Terzis, Sergei Vassilvitskii:
Private prediction for large-scale synthetic text generation. EMNLP (Findings) 2024: 7244-7262 - [i9]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 abs/2402.01862 (2024) - [i8]Shai Ben-David, Alex Bie, Gautam Kamath, Tosca Lechner:
Distribution Learnability and Robustness. CoRR abs/2406.17814 (2024) - [i7]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 abs/2407.12108 (2024) - 2023
- [j1]Alex Bie, Gautam Kamath, Guojun Zhang:
Private GANs, Revisited. Trans. Mach. Learn. Res. 2023 (2023) - [c4]Shai Ben-David, Alex Bie, Gautam Kamath, Tosca Lechner:
Distribution Learnability and Robustness. NeurIPS 2023 - [c3]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 - [i6]Alex Bie, Gautam Kamath
, Guojun Zhang:
Private GANs, Revisited. CoRR abs/2302.02936 (2023) - [i5]Shai Ben-David, Alex Bie, Clément L. Canonne, Gautam Kamath, Vikrant Singhal:
Private Distribution Learning with Public Data: The View from Sample Compression. CoRR abs/2308.06239 (2023) - [i4]Guojun Zhang, Mahdi Beitollahi, Alex Bie, Xi Chen:
Normalization Is All You Need: Understanding Layer-Normalized Federated Learning under Extreme Label Shift. CoRR abs/2308.09565 (2023) - 2022
- [c2]Alex Bie, Gautam Kamath, Vikrant Singhal:
Private Estimation with Public Data. NeurIPS 2022 - [i3]Alex Bie, Gautam Kamath, Vikrant Singhal:
Private Estimation with Public Data. CoRR abs/2208.07984 (2022) - 2021
- [c1]Tianshi Cao, Alex Bie, Arash Vahdat, Sanja Fidler, Karsten Kreis:
Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence. NeurIPS 2021: 12480-12492 - [i2]Tianshi Cao, Alex Bie, Arash Vahdat, Sanja Fidler, Karsten Kreis:
Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence. CoRR abs/2111.01177 (2021)
2010 – 2019
- 2019
- [i1]Alex Bie, Bharat Venkitesh, Joao Monteiro, Md. Akmal Haidar, Mehdi Rezagholizadeh:
Fully Quantizing a Simplified Transformer for End-to-end Speech Recognition. CoRR abs/1911.03604 (2019)
Coauthor Index
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