Jonathan Niles-Weed
22 papers · 2017–2025 · 5 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 12 separate collaboration groups - the largest holds only 27% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Jonathan Niles-Weed?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
8 papers whose co-authors appear nowhere else under this name
Trajectory Inference with Smooth Schrödinger Bridges
ICML 2025
Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification
JMLR 2024
Asymptotic confidence sets for random linear programs
COLT 2023
The Adversarial Consistency of Surrogate Risks for Binary Classification
NeurIPS 2023
Asymptotics of smoothed Wasserstein distances in the small noise regime
NeurIPS 2022
Distributional Convergence of the Sliced Wasserstein Process
NeurIPS 2022
Streaming k-PCA: Efficient guarantees for Oja’s algorithm, beyond rank-one updates
COLT 2021
Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem
NeurIPS 2019