Anming Gu

According to our database, Anming Gu authored at least 6 papers between 2023 and 2025.

Collaborative distances:

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

2025

Differentially Private Wasserstein Barycenters.

Anming Gu, Sasidhar Kunapuli, Mark Bun, Edward Chien, Kristjan Greenewald

CoRR, October, 2025

Private Continuous-Time Synthetic Trajectory Generation via Mean-Field Langevin Dynamics.

Anming Gu, Edward Chien, Kristjan H. Greenewald

CoRR, June, 2025

Mirror Mean-Field Langevin Dynamics.

Anming Gu, Juno Kim

CoRR, May, 2025

Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior.

Anming Gu, Edward Chien, Kristjan H. Greenewald

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Compute-Optimal LLMs Provably Generalize Better with Scale.

Marc Anton Finzi, Sanyam Kapoor, Diego Granziol, Anming Gu, Christopher De Sa, J. Zico Kolter, Andrew Gordon Wilson

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2023

k-Mixup Regularization for Deep Learning via Optimal Transport.

Kristjan H. Greenewald, Anming Gu, Mikhail Yurochkin, Justin Solomon, Edward Chien

Trans. Mach. Learn. Res., 2023