Clustering and community detection
Spectral methods
Matrix concentration inequalities
Large-scale numerical linear algebra
Tensor decomposition
Randomized linear algebra
Sparse recovery and compressed sensing
Low-rank matrix recovery (convex approaches)
Nonconvex matrix factorization
Robust principal component analysis
Super-resolution and spectral estimation
Minimax lower bounds
Shallow neural networks