Alexandru Meterez

According to our database, Alexandru Meterez authored at least 6 papers between 2024 and 2025.

Collaborative distances:

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

2025

A Simplified Analysis of SGD for Linear Regression with Weight Averaging.

Alexandru Meterez, Depen Morwani, Costin-Andrei Oncescu, Jingfeng Wu, Cengiz Pehlevan, Sham M. Kakade

CoRR, June, 2025

Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining.

Rosie Zhao, Alexandru Meterez, Sham M. Kakade, Cengiz Pehlevan, Samy Jelassi, Eran Malach

CoRR, April, 2025

The Optimization Landscape of SGD Across the Feature Learning Strength.

Alexander B. Atanasov, Alexandru Meterez, James B. Simon, Cengiz Pehlevan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Why do Learning Rates Transfer? Reconciling Optimization and Scaling Limits for Deep Learning.

Lorenzo Noci, Alexandru Meterez, Thomas Hofmann, Antonio Orvieto

CoRR, 2024

Super Consistency of Neural Network Landscapes and Learning Rate Transfer.

Lorenzo Noci, Alexandru Meterez, Thomas Hofmann, Antonio Orvieto

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

Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion.

Alexandru Meterez, Amir Joudaki, Francesco Orabona, Alexander Immer, Gunnar Rätsch, Hadi Daneshmand

Proceedings of the Twelfth International Conference on Learning Representations, 2024