Jonathan Niles‐Weed
Courant Institute of Mathematical Sciences(US)New York University(US)
Publications by Year
Research Areas
Markov Chains and Monte Carlo Methods, Geometric Analysis and Curvature Flows, Point processes and geometric inequalities, Statistical Methods and Inference, Random Matrices and Applications
Most-Cited Works
- → Early-Learning Regularization Prevents Memorization of Noisy Labels(2020)261 cited
- → Estimation of Wasserstein distances in the Spiked Transport Model(2022)69 cited
- → Statistical bounds for entropic optimal transport: sample complexity and\n the central limit theorem(2019)68 cited
- → Estimation under group actions: Recovering orbits from invariants(2023)60 cited
- → Minimax estimation of smooth densities in Wasserstein distance(2022)32 cited
- → Plugin estimation of smooth optimal transport maps(2024)30 cited
- → Diachronic modeling of the population within the medieval Greater Angkor Region settlement complex(2021)28 cited
- → An Improved Central Limit Theorem and Fast Convergence Rates for Entropic Transportation Costs(2023)26 cited
- → Asymptotics for Semidiscrete Entropic Optimal Transport(2022)25 cited