Alex Damian

According to our database1, Alex Damian authored at least 9 papers between 2021 and 2024.

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Bibliography

2024
Computational-Statistical Gaps in Gaussian Single-Index Models.
CoRR, 2024

How Transformers Learn Causal Structure with Gradient Descent.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Computational-Statistical Gaps in Gaussian Single-Index Models (Extended Abstract).
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023
Provable Guarantees for Nonlinear Feature Learning in Three-Layer Neural Networks.
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.
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.
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.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Neural Networks can Learn Representations with Gradient Descent.
CoRR, 2022

2021
Label Noise SGD Provably Prefers Flat Global Minimizers.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


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