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Filters: Author is Lorenzo Bardone
. Feature learning from non-Gaussian inputs: the case of Independent Component Analysis in high dimensions. In: Forty-second International Conference on Machine Learning. Forty-second International Conference on Machine Learning. ; 2025. Available from: https://openreview.net/forum?id=kmg7hweySi
. Reduce and Conquer: Independent Component Analysis at linear sample complexity. In: High-dimensional Learning Dynamics 2025. High-dimensional Learning Dynamics 2025. ; 2025. Available from: https://openreview.net/forum?id=vSnhlSG1Du
. Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks. In: The Thirty-eighth Annual Conference on Neural Information Processing Systems. The Thirty-eighth Annual Conference on Neural Information Processing Systems. ; 2024. Available from: https://openreview.net/forum?id=uHml6eyoVF
. Sliding Down the Stairs: How Correlated Latent Variables Accelerate Learning with Neural Networks. In: Forty-first International Conference on Machine Learning. Forty-first International Conference on Machine Learning. ; 2024. Available from: https://openreview.net/forum?id=9iGdh0wAgB