Matthew Werenski

4 papers · 2022–2025 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12)

Venues

JMLR (2) AISTATS (1) ICML (1)

Top co-authors

Shuchin Aeron (3) James M. Murphy (2) Nicolás García Trillos (1) Matt Jacobs (1) Ruijie Jiang (1) Jakwang Kim (1) Shoaib Bin Masud (1) Abiy Tasissa (1) James M Murphy (1) Brendan Mallery (1)

Research topics

Machine Learning (4) Mathematics & Optimization (4) Optimization (4) Core Methods (3) Mathematics (3) Optimization & Theory (2) Deep Learning (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1)

Keywords

optimal transport (4) sample complexity (1) adversarial training (1) covariance estimation (1) multi-class classification (1) linear programming (1) maximum mean discrepancy (1) riemannian geometry (1) probability measure (1) entropic regularization (1) sinkhorn algorithm (1) entropy regularization (1) goodness-of-fit testing (1) wasserstein space (1) lower bound (1) data imputation (1) wasserstein barycenter (1) multivariate rank (1) goodness-of-fit statistic (1) measure estimation (1)

Papers

Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications AISTATS 2025 An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification JMLR 2024 Multivariate Soft Rank via Entropy-Regularized Optimal Transport: Sample Efficiency and Generative Modeling JMLR 2023 Measure Estimation in the Barycentric Coding Model ICML 2022