Irises

Research interests

  • Statistics and learning theory: fast rates, robustness, adaptive estimation, nonparametric and high-dimensional estimation, testing, inverse problems, estimation and prediction with local shift-invariant structure, super-resolution.

  • Optimization: first-order methods, minimax problems, non-Euclidean proximal geometry, acceleration, performance estimation, lower complexity bounds.

See also my research statement, list of papers, Google Scholar, and research blog.