| Gromov–Wasserstein distances: Entropic regularization, duality and sample complexity Z Zhang, Z Goldfeld, Y Mroueh, BK Sriperumbudur The Annals of Statistics 52 (4), 1616-1645, 2024 | 37 | 2024 |
| Non-asymptotic performance guarantees for neural estimation of f-divergences S Sreekumar, Z Zhang, Z Goldfeld International Conference on Artificial Intelligence and Statistics, 3322-3330, 2021 | 30 | 2021 |
| Cycle consistent probability divergences across different spaces Z Zhang, Y Mroueh, Z Goldfeld, B Sriperumbudur International Conference on Artificial Intelligence and Statistics, 7257-7285, 2022 | 16 | 2022 |
| Gradient Flows and Riemannian Structure in the Gromov-Wasserstein Geometry: Z. Zhang et al. Z Zhang, Z Goldfeld, K Greenewald, Y Mroueh, BK Sriperumbudur Foundations of Computational Mathematics, 1-93, 2025 | 5 | 2025 |
| Duality and Sample Complexity for the Gromov-Wasserstein Distance Z Zhang, Z Goldfeld, Y Mroueh, B Sriperumbudur NeurIPS 2023 Workshop Optimal Transport and Machine Learning, 2023 | 2 | 2023 |
