← Authors

Jonathan Niles-Weed

22 papers · 2017–2025 · 5 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (10) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (32) 🌍 Conference Polyglot (5) 🐣 Hot Topic Early Bird 🏃 Academic Marathon (8) 🧭 Keyword Pioneer 🧬 Topic Evolution 🔥 Unstoppable (7) 💎 Century Club (22) ⚡ Prolific Year (5) 📈 Trend Setter 🗃️ Keyword Collector (93)

Conferences

NIPS (10) ICML (6) COLT (4) AISTATS (1) JMLR (1)

Top co-authors

Aram-Alexandre Pooladian (5) Marco Cuturi (4) Ilias Zadik (3) Michal Klein (2) Carlos Fernandez-Granda (2) Haoxiang Huang (2) Sheng Liu (2) Narges Razavian (2) Jason Altschuler (2) Weicheng Zhu (1)

Keywords

optimal transport (9) phase transition (4) wasserstein distance (3) binary classification (2) transport map (2) surrogate loss (2) entropic regularization (2) entropic optimal transport (2) statistical inference (1) robust classification (1) statistical consistency (1) sample complexity (1) adversarial training (1) deep learning (1) adversarial learning (1) epistemic uncertainty (1) feature learning (1) label noise (1) gene expression (1) subspace tracking (1)

Papers

Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps AISTATS 2025
Trajectory Inference with Smooth Schrödinger Bridges ICML 2025
Learning Elastic Costs to Shape Monge Displacements NIPS 2024
Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification JMLR 2024
Progressive Entropic Optimal Transport Solvers NIPS 2024
Asymptotic confidence sets for random linear programs COLT 2023
Perturbation Analysis of Neural Collapse ICML 2023
Minimax estimation of discontinuous optimal transport maps: The semi-discrete case ICML 2023
The Adversarial Consistency of Surrogate Risks for Binary Classification NIPS 2023
Sharp thresholds in inference of planted subgraphs COLT 2023
Distributional Convergence of the Sliced Wasserstein Process NIPS 2022
Debiaser Beware: Pitfalls of Centering Regularized Transport Maps ICML 2022
Deep Probability Estimation ICML 2022
Asymptotics of smoothed Wasserstein distances in the small noise regime NIPS 2022
Streaming k-PCA: Efficient guarantees for Oja’s algorithm, beyond rank-one updates COLT 2021
It was “all” for “nothing”: sharp phase transitions for noiseless discrete channels COLT 2021
Supervised Quantile Normalization for Low Rank Matrix Factorization ICML 2020
Early-Learning Regularization Prevents Memorization of Noisy Labels NIPS 2020
The All-or-Nothing Phenomenon in Sparse Tensor PCA NIPS 2020
Massively scalable Sinkhorn distances via the Nyström method NIPS 2019
Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem NIPS 2019
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration NIPS 2017