Matthew Werenski

According to our database, Matthew Werenski authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

On the modulus of Lipschitz smoothness of log-sum-exp function.

Honglin Luo, Xianfu Wang, Matthew Werenski, Xinmin Yang

Optim. Lett., June, 2026

2025

Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications.

Matthew Werenski, Brendan Mallery, Shuchin Aeron, James M. Murphy

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

On Rank Energy Statistics via Optimal Transport: Continuity, Convergence, and Change Point Detection.

Matthew Werenski, Shoaib Bin Masud, James M. Murphy, Shuchin Aeron

IEEE Trans. Inf. Theory, July, 2024

An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification.

Nicolás García Trillos, Matt Jacobs, Jakwang Kim, Matthew Werenski

J. Mach. Learn. Res., 2024

2023

Multivariate Soft Rank via Entropy-Regularized Optimal Transport: Sample Efficiency and Generative Modeling.

Shoaib Bin Masud, Matthew Werenski, James M. Murphy, Shuchin Aeron

J. Mach. Learn. Res., 2023

Estimation of entropy-regularized optimal transport maps between non-compactly supported measures.

Matthew Werenski, James M. Murphy, Shuchin Aeron

CoRR, 2023

2022

GLIDER: function prediction from GLIDE-based neighborhoods.

Kapil Devkota, Henri Schmidt, Matthew Werenski, James M. Murphy, Mert Erden, Victor Arsenescu, Lenore J. Cowen

Bioinform., 2022

Measure Estimation in the Barycentric Coding Model.

Matthew Werenski, Ruijie Jiang, Abiy Tasissa, Shuchin Aeron, James M. Murphy

Proceedings of the International Conference on Machine Learning, 2022