Jonathan Niles-Weed
Associate Professor of Mathematics and Data Science
Studies high-dimensional statistics and optimal transport, including statistical estimation of transport maps.
Jonathan Niles-Weed's lab at NYU works on learning theory & optimization, planning, control & multi-robot systems and data management & big data. 19 papers since 2023, 6 at top venues, mostly ICML and NeurIPS. Applications close .
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 32%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 9 papers2025 · T1 1
- 4 papers2024 · T1 2
- 6 papers2023 · T1 3
T1 venuesOtherVenues: ICML, NeurIPS, COLT, JMLR
Research focuspaper titles that use each topic's words
- transport4 papers
- maps3 papers
- Learning theory & optimization2 papers
- Planning, control & multi-robot systems0 papers
- Data management & big data0 papers
Paper list
From the lab homepage.
20259 papers
- Random Structures & AlgorithmsA Bayesian Proof of the Spread Lemma
- Annals of StatisticsApproximate independence of permutation mixtures
- BernoulliEstimation and inference for the Wasserstein distance between mixing measures in topic models
- Annals of StatisticsOptimal transport map estimation in general function spaces
- SIAM Journal on Mathematics of Data SciencePlug-in estimation of Schrödinger bridges
- Annals of Applied ProbabilitySharp thresholds in inference of planted subgraphs
- Journal of Multivariate AnalysisThe multirank likelihood for semiparametric canonical correlation analysis
- International Mathematics Research NoticesTight stability bounds for entropic Brenier maps
- ICML (T1)Trajectory Inference with Smooth Schrödinger Bridges
20244 papers
- JMLR (T1)Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification
- NeurIPS (T1)Learning elastic costs to shape Monge displacements
- Annals of StatisticsPlugin Estimation of Smooth Optimal Transport Maps
- Annals of Applied ProbabilitySharp Convergence Rates for Empirical Optimal Transport with Smooth Costs
20236 papers
- SIAM Journal on Mathematics of Data ScienceAn improved central limit theorem and fast convergence rates for entropic transportation costs
- COLT (T1)Asymptotic confidence sets for random linear programs
- Scientific ReportsBayesian regression versus machine learning for rapid age estimation of archaeological features identified with lidar at Angkor
- Applied and Computational Harmonic AnalysisEstimation under group actions: recovering orbits from invariants
- ICML (T1)Minimax estimation of discontinuous optimal transport maps: The semi-discrete case
- NeurIPS (T1)The Adversarial Consistency of Surrogate Risks for Binary Classification
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NYUFall 2027
Computer Science PhD (Courant / Tandon)
- Round
- Single round (December)
- Opens
- —
- GRE
- See program page
- English
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- Fee
- See program page
Not yet confirmed for this intake.
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Data
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- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
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- Alumni
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