Jonathan Niles-Weed

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 40

Top Topics

Binary Classification

Transportation Costs

Central Limit Theorem

Top Venues

Publications

Parnian Kassraie, Aram-Alexandre Pooladian, Michal Klein, James Thornton, Jonathan Niles-Weed, Marco Cuturi
Progressive Entropic Optimal Transport Solvers. CoRR (2024)
Shuyu Liu, Florentina Bunea, Jonathan Niles-Weed
Asymptotic confidence sets for random linear programs. COLT (2023)
Aram-Alexandre Pooladian, Vincent Divol, Jonathan Niles-Weed
Minimax estimation of discontinuous optimal transport maps: The semi-discrete case. ICML (2023)
Elchanan Mossel, Jonathan Niles-Weed, Youngtak Sohn, Nike Sun, Ilias Zadik
Sharp thresholds in inference of planted subgraphs. CoRR (2023)
Natalie Frank, Jonathan Niles-Weed
The Adversarial Consistency of Surrogate Risks for Binary Classification. CoRR (2023)
Eustasio del Barrio, Alberto González-Sanz, Jean-Michel Loubes, Jonathan Niles-Weed
An Improved Central Limit Theorem and Fast Convergence Rates for Entropic Transportation Costs. SIAM J. Math. Data Sci. 5 (3) (2023)
Natalie Frank, Jonathan Niles-Weed
The Adversarial Consistency of Surrogate Risks for Binary Classification. NeurIPS (2023)
Tom Tirer, Haoxiang Huang, Jonathan Niles-Weed
Perturbation Analysis of Neural Collapse. ICML (2023)
Michal Klein, Aram-Alexandre Pooladian, Pierre Ablin, Eugène Ndiaye, Jonathan Niles-Weed, Marco Cuturi
Learning Costs for Structured Monge Displacements. CoRR (2023)
Elchanan Mossel, Jonathan Niles-Weed, Youngtak Sohn, Nike Sun, Ilias Zadik
Sharp thresholds in inference of planted subgraphs. COLT (2023)
Jonathan Niles-Weed, Ilias Zadik
It Was "All" for "Nothing": Sharp Phase Transitions for Noiseless Discrete Channels. IEEE Trans. Inf. Theory 69 (8) (2023)
Elchanan Mossel, Jonathan Niles-Weed, Nike Sun, Ilias Zadik
A second moment proof of the spread lemma. CoRR (2022)
Natalie S. Frank, Jonathan Niles-Weed
The Consistency of Adversarial Training for Binary Classification. CoRR (2022)
Jiaqi Xi, Jonathan Niles-Weed
Distributional Convergence of the Sliced Wasserstein Process. NeurIPS (2022)
Tom Tirer, Haoxiang Huang, Jonathan Niles-Weed
Perturbation Analysis of Neural Collapse. CoRR (2022)
Aram-Alexandre Pooladian, Marco Cuturi, Jonathan Niles-Weed
Debiaser Beware: Pitfalls of Centering Regularized Transport Maps. ICML (2022)
Eustasio del Barrio, Alberto González-Sanz, Jean-Michel Loubes, Jonathan Niles-Weed
An improved central limit theorem and fast convergence rates for entropic transportation costs. CoRR (2022)
De Huang, Jonathan Niles-Weed, Joel A. Tropp, Rachel Ward
Matrix Concentration for Products. Found. Comput. Math. 22 (6) (2022)
Jason M. Altschuler, Jonathan Niles-Weed, Austin J. Stromme
Asymptotics for Semidiscrete Entropic Optimal Transport. SIAM J. Math. Anal. 54 (2) (2022)
Dmitriy Kunisky, Jonathan Niles-Weed
Strong recovery of geometric planted matchings. SODA (2022)
Yunzi Ding, Jonathan Niles-Weed
Asymptotics of smoothed Wasserstein distances in the small noise regime. NeurIPS (2022)
Dylan J. Altschuler, Jonathan Niles-Weed
The discrepancy of random rectangular matrices. Random Struct. Algorithms 60 (4) (2022)
Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Haoxiang Huang, Laure Zanna, Narges Razavian, Jonathan Niles-Weed, Carlos Fernandez-Granda
Deep Probability Estimation. ICML (2022)
Elchanan Mossel, Jonathan Niles-Weed, Nike Sun, Ilias Zadik
On the Second Kahn-Kalai Conjecture. CoRR (2022)
Jonathan Niles-Weed, Ilias Zadik
It was "all" for "nothing": sharp phase transitions for noiseless discrete channels. COLT (2021)
Dylan J. Altschuler, Jonathan Niles-Weed
The Discrepancy of Random Rectangular Matrices. CoRR (2021)
Jonathan Niles-Weed, Ilias Zadik
It was "all" for "nothing": sharp phase transitions for noiseless discrete channels. CoRR (2021)
De Huang, Jonathan Niles-Weed, Rachel Ward
Streaming k-PCA: Efficient guarantees for Oja's algorithm, beyond rank-one updates. CoRR (2021)
Dmitriy Kunisky, Jonathan Niles-Weed
Strong recovery of geometric planted matchings. CoRR (2021)
De Huang, Jonathan Niles-Weed, Rachel Ward
Streaming k-PCA: Efficient guarantees for Oja's algorithm, beyond rank-one updates. COLT (2021)
Marco Cuturi, Olivier Teboul, Jonathan Niles-Weed, Jean-Philippe Vert
Supervised Quantile Normalization for Low-rank Matrix Approximation. CoRR (2020)
Sheng Liu, Jonathan Niles-Weed, Narges Razavian, Carlos Fernandez-Granda
Early-Learning Regularization Prevents Memorization of Noisy Labels. NeurIPS (2020)
Marco Cuturi, Olivier Teboul, Jonathan Niles-Weed, Jean-Philippe Vert
Supervised Quantile Normalization for Low Rank Matrix Factorization. ICML (2020)
Jonathan Niles-Weed, Ilias Zadik
The All-or-Nothing Phenomenon in Sparse Tensor PCA. NeurIPS (2020)
Gonzalo E. Mena, Amin Nejatbakhsh, Erdem Varol, Jonathan Niles-Weed
Sinkhorn EM: An Expectation-Maximization algorithm based on entropic optimal transport. CoRR (2020)
Ziv Goldfeld, Kristjan H. Greenewald, Jonathan Niles-Weed, Yury Polyanskiy
Convergence of Smoothed Empirical Measures With Applications to Entropy Estimation. IEEE Trans. Inf. Theory 66 (7) (2020)
Jonathan Niles-Weed, Ilias Zadik
The All-or-Nothing Phenomenon in Sparse Tensor PCA. CoRR (2020)
Sheng Liu, Jonathan Niles-Weed, Narges Razavian, Carlos Fernandez-Granda
Early-Learning Regularization Prevents Memorization of Noisy Labels. CoRR (2020)
Gonzalo Mena, Jonathan Niles-Weed
Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem. NeurIPS (2019)
Jason Altschuler, Francis R. Bach, Alessandro Rudi, Jonathan Niles-Weed
Massively scalable Sinkhorn distances via the Nyström method. NeurIPS (2019)