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cs.LG2025
Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization
Dai Hai Nguyen, Hiroshi Mamitsuka, Atsuyoshi Nakamura
We address the optimization problem of simultaneously minimizing multiple objective functionals over a family of probability distributions. This type of Multi-Objective Distributio…
cs.LG2023
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference
Dai Hai Nguyen, Tetsuya Sakurai, Hiroshi Mamitsuka
Variational inference (VI) can be cast as an optimization problem in which the variational parameters are tuned to closely align a variational distribution with the true posterior.…