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Jonathan Niles-Weed - MaRDI portal

Jonathan Niles-Weed

From MaRDI portal
Person:2098234

Available identifiers

zbMath Open niles-weed.jonathanMaRDI QIDQ2098234

List of research outcomes

PublicationDate of PublicationType
Sharp convergence rates for empirical optimal transport with smooth costs2024-04-10Paper
Central Limit Theorems for Smooth Optimal Transport Maps2023-12-19Paper
The discrepancy of random rectangular matrices2023-10-12Paper
An Improved Central Limit Theorem and Fast Convergence Rates for Entropic Transportation Costs2023-08-29Paper
Estimation under group actions: recovering orbits from invariants2023-07-19Paper
Sharp thresholds in inference of planted subgraphs2023-02-28Paper
Matrix concentration for products2022-11-17Paper
Estimation of Wasserstein distances in the spiked transport model2022-09-28Paper
A second moment proof of the spread lemma2022-09-22Paper
On the Second Kahn--Kalai Conjecture2022-09-07Paper
Weak limits of entropy regularized Optimal Transport; potentials, plans and divergences2022-07-15Paper
Minimax estimation of smooth densities in Wasserstein distance2022-06-24Paper
Asymptotics of smoothed Wasserstein distances in the small noise regime2022-06-13Paper
Distributional Convergence of the Sliced Wasserstein Process2022-05-31Paper
Asymptotics of smoothed Wasserstein distances2022-03-23Paper
Asymptotics for Semidiscrete Entropic Optimal Transport2022-03-21Paper
Dimension-free log-Sobolev inequalities for mixture distributions2021-10-22Paper
Strong recovery of geometric planted matchings2021-07-12Paper
It was "all" for "nothing": sharp phase transitions for noiseless discrete channels2021-02-24Paper
Streaming k-PCA: Efficient guarantees for Oja's algorithm, beyond rank-one updates2021-02-06Paper
Convergence of Smoothed Empirical Measures With Applications to Entropy Estimation2020-09-29Paper
Optimal rates of estimation for multi-reference alignment2020-05-04Paper
Estimation of Wasserstein distances in the Spiked Transport Model2019-09-16Paper
Minimax estimation of smooth densities in Wasserstein distance2019-02-05Paper

Research outcomes over time


Doctoral students

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