Research Interests

Irises

Spotlight

  • Mathematical statistics: high-dimensional & robust estimation, structural adaptation, hypotheses testing, nonparametric estimation.

  • Optimization theory: large-scale algorithms, minimax & nonconvex problems, acceleration, non-Euclidean geometry, lower complexity bounds.

  • Learning theory: fast rates / constant regret in statistical / online learning.

  • Signal processing: estimation with shift-invariant structure, super-resolution.

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