Publications

(2024). Gradient Flows and Riemannian Structure in the Gromov-Wasserstein Geometry. arXiv preprint arXiv:2407.11800, submitted to Foundations of Computational Mathematics.

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(2024). Gromov-Wasserstein Distances: Entropic Regularization, Duality, and Sample Complexity. The Annals of Statistics.

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(2022). Cycle consistent probability divergences across different spaces. International Conference on Artificial Intelligence and Statistics.

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(2021). Non-asymptotic performance guarantees for neural estimation of f-divergences. International Conference on Artificial Intelligence and Statistics.

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