Mingxuan Yi

According to our database, Mingxuan Yi authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Minimizing f-Divergences by Interpolating Velocity Fields.

Song Liu, Jiahao Yu, Jack Simons, Mingxuan Yi, Mark Beaumont

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Bridging the Gap Between Variational Inference and Wasserstein Gradient Flows.

Mingxuan Yi, Song Liu

CoRR, 2023

Variational Gradient Descent using Local Linear Models.

Song Liu, Jack Simons, Mingxuan Yi, Mark Beaumont

CoRR, 2023

MonoFlow: Rethinking Divergence GANs via the Perspective of Differential Equations.

Mingxuan Yi, Zhanxing Zhu, Song Liu

CoRR, 2023

MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows.

Mingxuan Yi, Zhanxing Zhu, Song Liu

Proceedings of the International Conference on Machine Learning, 2023

2022

Sliced Wasserstein variational inference.

Mingxuan Yi, Song Liu

Proceedings of the Asian Conference on Machine Learning, 2022

2020

Posterior Ratio Estimation for Latent Variables.

Yulong Zhang, Mingxuan Yi, Song Liu, Mladen Kolar

CoRR, 2020