Langevin dynamics for high-dimensional optimization: the case of multi-spiked tensor PCA

Documenti analoghi

• Permutation recovery of spikes in noisy high-dimensional tensor estimation
  di: Arous, Gérard Ben, et al.
  Pubblicazione: (2024)
• Stochastic gradient descent in high dimensions for multi-spiked tensor PCA
  di: Arous, Gérard Ben, et al.
  Pubblicazione: (2024)
• The Breakdown of Gaussian Universality in Classification of High-dimensional Linear Factor Mixtures
  di: Mai, Xiaoyi, et al.
  Pubblicazione: (2024)
• Sharp threshold for network recovery from voter model dynamics
  di: Du, Hang, et al.
  Pubblicazione: (2025)
• Computational thresholds in high-dimensional statistics: the case of graph alignment
  di: Massoulié, Laurent
  Pubblicazione: (2025)