Alex Damian

According to our database, Alex Damian authored at least 8 papers between 2021 and 2024.

Collaborative distances:

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

2024

Computational-Statistical Gaps in Gaussian Single-Index Models.

Alex Damian, Loucas Pillaud-Vivien, Jason D. Lee, Joan Bruna

CoRR, 2024

How Transformers Learn Causal Structure with Gradient Descent.

Eshaan Nichani, Alex Damian, Jason D. Lee

CoRR, 2024

2023

Provable Guarantees for Nonlinear Feature Learning in Three-Layer Neural Networks.

Eshaan Nichani, Alex Damian, Jason D. Lee

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

Fine-Tuning Language Models with Just Forward Passes.

Sadhika Malladi, Tianyu Gao, Eshaan Nichani, Alex Damian, Jason D. Lee, Danqi Chen, Sanjeev Arora

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

Smoothing the Landscape Boosts the Signal for SGD: Optimal Sample Complexity for Learning Single Index Models.

Alex Damian, Eshaan Nichani, Rong Ge, Jason D. Lee

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

Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability.

Alex Damian, Eshaan Nichani, Jason D. Lee

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Neural Networks can Learn Representations with Gradient Descent.

Alex Damian, Jason D. Lee, Mahdi Soltanolkotabi

CoRR, 2022

2021

Label Noise SGD Provably Prefers Flat Global Minimizers.

Alex Damian, Tengyu Ma, Jason D. Lee

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021