Posterior Ratio Estimation for Latent Variables. - Yulong Zhang; Mingxuan Yi; Song Liu; Mladen Kolar (CoRR, 2020)

Sliced Wasserstein variational inference. - Mingxuan Yi; Song Liu (ACML, 2022)

MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows. - Mingxuan Yi; Zhanxing Zhu; Song Liu (ICML, 2023)

MonoFlow: Rethinking Divergence GANs via the Perspective of Differential Equations. - Mingxuan Yi; Zhanxing Zhu; Song Liu (CoRR, 2023)

Variational Gradient Descent using Local Linear Models. - Song Liu; Jack Simons; Mingxuan Yi; Mark Beaumont (CoRR, 2023)

Bridging the Gap Between Variational Inference and Wasserstein Gradient Flows. - Mingxuan Yi; Song Liu (CoRR, 2023)

Minimizing f-Divergences by Interpolating Velocity Fields. - Song Liu; Jiahao Yu; Jack Simons; Mingxuan Yi; Mark Beaumont (ICML, 2024)