8. Mean-field Variational Inference via Wasserstein Gradient Flow [arXiv]
Rentian Yao, Yun Yang
Journal of Machine Learning Research (JMLR), accepted, 2025
7. Convergence Rate of the Solution of Multi-marginal Schrodinger Bridge Problem with Marginal Constraints from SDEs [journal]
Rentian Yao, Young-Heon Kim, Geoffrey Schiebinger
Electronic Communications in Probability (ECP), 2025
6. Statistical Analysis of the Sinkhorn Iterations for Two-sample Schrodinger Bridge Estimation [arXiv]
Ibuki Maeda, Rentian Yao, Atsushi Nitanda
Conference on Neural Information Processing Systems (NeurIPS), accepted, 2025
5. Optimal Transport Barycenter via Nonconvex Concave Minimax Optimization [proceeding]
Kaheon Kim, Rentian Yao, Changbo Zhu, Xiaohui Chen
International Conference on Machine Learning (ICML), 2025
4. Wasserstein Proximal Coordinate Gradient Algorithms [journal]
Rentian Yao, Xiaohui Chen, Yun Yang
Journal of Machine Learning Research (JMLR), 2024
3. Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow [proceeding]
Rentian Yao, Linjun Huang, Yun Yang
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
2. A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening [proceeding]
Yifan Chen, Rentian Yao, Jie Chen, Yun Yang
International Conference on Machine Learning (ICML), 2023
1. Mean-field Nonparametric Estimation of Interacting Particle Systems [proceeding]
Rentian Yao, Xiaohui Chen, Yun Yang
Conference on Learning Theory (COLT), 2022
2. Quantitative Stability of Many-marginal Schrodinger Bridge
Rentian Yao, Young-Heon Kim, Geoffrey Schiebinger
In Preparation
1. Learning Density Evolution from Snapshot Data [arXiv]
Rentian Yao, Atsushi Nitanda, Xiaohui Chen, Yun Yang
First version: Feb 2025 (R&R by Annals of Statistics)