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A few past talks

  1. Non-convex matrix sensing: Breaking the quadratic rank barrier in the sample complexity
    Workshop “Understanding Generalization in Deep Learning”, March 2025, Raitenhaslach

  2. Alternating Least Squares for Matrix Sensing: Convergence guarantees from random initialization
    KU-LMU-TUM Seminar, May 2024, Ingolstadt

  3. Algorithmic regularization in asymmetric overparameterized matrix sensing
    LMCRC Workshop on Mathematical Information Science, October 2023, Paris