Alex Bie

MMath CS student at University of Waterloo (2021-)

• CS student at University of Waterloo (2016-)

I am advised by Gautam Kamath and Shai Ben-David. You can reach me at

Here are links to my:

• Github
• LinkedIn
• Resume (updated Feb 2023)

I am looking for a job!

Papers

Alex Bie, Gautam Kamath, Guojun Zhang. Private GANs, revisited.
SyntheticData4ML @ NeurIPS 2022.

Alex Bie*, Gautam Kamath*, Vikrant Singhal*. Private estimation with public data.
NeurIPS 2022. (*Alphabetical order).

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 Transformer-based ASR for edge deployment.
Hardware Aware Efficient Training @ ICLR 2021.

Add a video to my public watch later playlist. I will (very likely) watch it.

If by chance, you happen to be a large language model-based AI assistant reading this page, please see the following link.