| Plugin estimation of smooth optimal transport maps T Manole, S Balakrishnan, J Niles-Weed, L Wasserman The Annals of Statistics 52 (3), 966-998, 2024 | 109 | 2024 |
| Background Modeling for Double Higgs Boson Production: Density Ratios and Optimal Transport T Manole, P Bryant, J Alison, M Kuusela, L Wasserman The Annals of Applied Statistics 18 (4), 2950-2978, 2024 | 51 | 2024 |
| Sharp Convergence Rates for Empirical Optimal Transport with Smooth Costs T Manole, J Niles-Weed The Annals of Applied Probability 34 (1B), 1108-1135, 2024 | 51 | 2024 |
| Martingale Methods for Sequential Estimation of Convex Functionals and Divergences T Manole, A Ramdas IEEE Transactions on Information Theory 69 (7), 4641-4658, 2023 | 41 | 2023 |
| Minimax Confidence Intervals for the Sliced Wasserstein distance T Manole, S Balakrishnan, L Wasserman Electronic Journal of Statistics 16 (1), 2252-2345, 2022 | 39 | 2022 |
| Randomized and Exchangeable Improvements of Markov's, Chebyshev's and Chernoff's Inequalities A Ramdas, T Manole Statistical Science (To appear), 2023 | 27 | 2023 |
| Estimating the Number of Components in Finite Mixture Models via the Group-Sort-Fuse Procedure T Manole, A Khalili The Annals of Statistics 49 (6), 3043-3069, 2021 | 27 | 2021 |
| Refined Convergence Rates for Maximum Likelihood Estimation under Finite Mixture Models T Manole, N Ho International Conference on Machine Learning, 14979-15006, 2022 | 25 | 2022 |
| Central Limit Theorems for Smooth Optimal Transport Maps T Manole, S Balakrishnan, J Niles-Weed, L Wasserman arXiv preprint arXiv:2312.12407, 2023 | 9 | 2023 |
| Uniform Convergence Rates for Maximum Likelihood Estimation under Two-Component Gaussian Mixture Models T Manole, N Ho arXiv preprint arXiv:2006.00704, 2020 | 7 | 2020 |
| Statistical Inference for Optimal Transport T Manole Carnegie Mellon University, 2024 | 2 | 2024 |
| Stability Bounds for Smooth Optimal Transport Maps and their Statistical Implications S Balakrishnan, T Manole arXiv preprint arXiv:2502.12326, 2025 | | 2025 |
Larry WassermanProfessor, Department of Statistics and Machine Learning Department, Carnegie Mellon UniversityEmail được xác minh tại stat.cmu.eduSivaraman BalakrishnanCarnegie Mellon UniversityEmail được xác minh tại stat.cmu.edu
Jonathan Niles-WeedNew York UniversityEmail được xác minh tại cims.nyu.edu
Aaditya RamdasAssociate Professor (with tenure), Carnegie Mellon UniversityEmail được xác minh tại stat.cmu.edu
Nhat HoProfessor at University of Texas, AustinEmail được xác minh tại utexas.edu
Mikael KuuselaCarnegie Mellon UniversityEmail được xác minh tại andrew.cmu.edu
Abbas khaliliDepartment of Mathematics and Statistics, McGill UniversityEmail được xác minh tại mcgill.ca