The Interplay between Distribution Parameters and the Accuracy-Robustness Tradeoff in Classification. - Alireza Mousavi Hosseini; Amir Mohammad Abouei; Mohammad Hossein Rohban (CoRR, 2021)

Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality. - Alireza Mousavi Hosseini; Tyler K. Farghly; Ye He 003; Krishna Balasubramanian; Murat A. Erdogdu (COLT, 2023)

Neural Networks Efficiently Learn Low-Dimensional Representations with SGD. - Alireza Mousavi Hosseini; Sejun Park; Manuela Girotti; Ioannis Mitliagkas; Murat A. Erdogdu (ICLR, 2023)

Gradient-Based Feature Learning under Structured Data. - Alireza Mousavi Hosseini; Denny Wu; Taiji Suzuki; Murat A. Erdogdu (NeurIPS, 2023)

A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers. - Ye He 003; Alireza Mousavi Hosseini; Krishnakumar Balasubramanian 001; Murat A. Erdogdu (NeurIPS, 2024)

Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach. - Guillaume Wang; Alireza Mousavi Hosseini; Lénaïc Chizat (NeurIPS, 2024)

Robust Feature Learning for Multi-Index Models in High Dimensions. - Alireza Mousavi Hosseini; Adel Javanmard; Murat A. Erdogdu (ICLR, 2025)

Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics. - Alireza Mousavi Hosseini; Denny Wu; Murat A. Erdogdu (ICLR, 2025)

When Do Transformers Outperform Feedforward and Recurrent Networks? A Statistical Perspective. - Alireza Mousavi Hosseini; Clayton Sanford; Denny Wu; Murat A. Erdogdu (CoRR, 2025)

On Fitting Flow Models with Large Sinkhorn Couplings. - Michal Klein; Alireza Mousavi Hosseini; Stephen Zhang; Marco Cuturi (CoRR, 2025)