Preprints:

• C. Cartis, E. Massart, A. Otemissov,
  Constrained global optimization of functions with low effective dimensionality using multiple random embeddings
  2020.

Journal papers:

• A. Musolas, E. Massart, J. M. Hendrickx, P.-A. Absil, Y. Marzouk,
  Low-rank multi-parametric covariance estimation, accepted to BIT Numerical Mathematics, 2021.
• N.T. Son, P.-Y. Gousenbourger, E. Massart, and T. Stykel,
  Balanced truncation for parametric linear systems using interpolation of Gramians: a comparison of algebraic and geometric approaches,
  Special issue on model reduction of complex dynamical systems, to appear in the Springer International Series of Numerical Mathematics, 2020.
• E. Massart, P.-A. Absil,
  Quotient geometry with simple geodesics for the manifold of fixed-rank positive-semidefinite matrices,
  SIAM Journal on Matrix Analysis and Applications 41(1), pp. 171-198, 2020.
  Code available in the Manopt toolbox
• P.-Y. Gousenbourger, E. Massart, P.-A. Absil,
  Data fitting on manifolds with composite Bézier-like curves and blended cubic splines,
  Journal of Mathematical Imaging and Vision, 61(5), pp. 645-671, 2019.
• E. M. Massart, J. M. Hendrickx, P-A. Absil,
  Matrix geometric means based on shuffled inductive sequences,
  Linear Algebra and its Applications, 252, pp. 334-359, 2018. [Code]

Conference papers:

• C. Cartis, E. Massart, A. Otemissov,
  Dimensionality reduction techniques for global optimization of functions with low effective dimensionality,
  ICML workshop “Beyond first order methods in ML systems”.
• For conference papers published before my arrival at the University of Oxford, please see my personal website .