Gaussian comparisons meet convexity: Precise analysis of structured signal recovery
HEAT KERNEL ESTIMATES FOR TIME FRACTIONAL EQUATIONS
Invariance Principle for balanced random walk in dynamical environment
Invertibility and spectral anti-concentration for random matrices with non-iid entries
Simple Classification from Binary Data
Nonconvex optimization meets supremum of stochastic processes
Eigenvalues of multivariate variance components estimates
On loop soups, gradient fields, and critical phenomena
Cleaning large correlation matrices: Eigenvector overlaps, rotationally invariant estimators and financial applications
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