Alireza Mousavi Hosseini

According to our database, Alireza Mousavi Hosseini authored at least 12 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

From Information to Generative Exponent: Learning Rate Induces Phase Transitions in SGD.

Konstantinos Christopher Tsiolis, Alireza Mousavi Hosseini, Murat A. Erdogdu

CoRR, October, 2025

Flow Matching with Semidiscrete Couplings.

Alireza Mousavi Hosseini, Stephen Y. Zhang, Michal Klein, Marco Cuturi

CoRR, September, 2025

On Fitting Flow Models with Large Sinkhorn Couplings.

Michal Klein, Alireza Mousavi Hosseini, Stephen Y. Zhang, Marco Cuturi

CoRR, June, 2025

When Do Transformers Outperform Feedforward and Recurrent Networks? A Statistical Perspective.

Alireza Mousavi Hosseini, Clayton Sanford, Denny Wu, Murat A. Erdogdu

CoRR, March, 2025

Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics.

Alireza Mousavi Hosseini, Denny Wu, Murat A. Erdogdu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Robust Feature Learning for Multi-Index Models in High Dimensions.

Alireza Mousavi Hosseini, Adel Javanmard, Murat A. Erdogdu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach.

Guillaume Wang, Alireza Mousavi Hosseini, Lénaïc Chizat

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers.

Ye He, Alireza Mousavi Hosseini, Krishnakumar Balasubramanian, Murat A. Erdogdu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Gradient-Based Feature Learning under Structured Data.

Alireza Mousavi Hosseini, Denny Wu, Taiji Suzuki, Murat A. Erdogdu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Neural Networks Efficiently Learn Low-Dimensional Representations with SGD.

Alireza Mousavi Hosseini, Sejun Park, Manuela Girotti, Ioannis Mitliagkas, Murat A. Erdogdu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality.

Alireza Mousavi Hosseini, Tyler K. Farghly, Ye He, Krishna Balasubramanian, Murat A. Erdogdu

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2021

The Interplay between Distribution Parameters and the Accuracy-Robustness Tradeoff in Classification.

Alireza Mousavi Hosseini, Amir Mohammad Abouei, Mohammad Hossein Rohban

CoRR, 2021