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cs.LG2026
A dictionary learning framework for graphs via filters and optimal transport
Jinchuan Liao, Dai Hai Nguyen
We propose a graph dictionary learning (GDL) framework where each graph is represented as a zero-mean Gaussian distribution derived from its filtered Laplacian. Each observed graph…
cs.LG2026
Accelerated Multiple Wasserstein Gradient Flows for Multi-objective Distributional Optimization
Dai Hai Nguyen, Duc Dung Nguyen, Atsuyoshi Nakamura +1
We study multi-objective optimization over probability distributions in Wasserstein space. Recently, Nguyen et al. (2025) introduced Multiple Wasserstein Gradient Descent (MWGraD)…