Papers & Talks

PhD Thesis – On the Complexity of Optimization: Curved Spaces and Benign Landscapes 2025
C Criscitiello


Sensor network localization has a benign landscape after low-dimensional relaxation 2025
C Criscitiello, AD McRae, Q Rebjock, N Boumal

 

Horospherically Convex Optimization on Hadamard Manifolds Part I: Analysis and Algorithms 2025
C Criscitiello, J Kim


Synchronization on circles and spheres with nonlinear interactions 2024
C Criscitiello, Q Rebjock, AD McRae, N Boumal

Curvature and complexity: Better lower bounds for geodesically convex optimization 2023
C Criscitiello, N Boumal


Open problem: polynomial linearly-convergent method for g-convex optimization? 2023
C Criscitiello, D Martínez-Rubio, N Boumal


Accelerated Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties 2023
D Martínez-Rubio, C Roux, C Criscitiello, S Pokutta

Negative curvature obstructs acceleration for strongly geodesically convex optimization, even with exact first-order oracles 2022
C Criscitiello, N Boumal


An accelerated first-order method for non-convex optimization on manifolds 2022
C Criscitiello, N Boumal

Efficiently escaping saddle points on manifolds 2019
C Criscitiello, N Boumal

Supervising

I’ve been fortunate to supervise the following students (listed alphabetically):

  • Edmund Hofflin (EPFL masters project)

  • Florence Osmont (EPFL masters thesis)

  • Hugo Georgenthum (EPFL semester project)

  • Maurice Gauché (EPFL semester project)

  • Pierre Stöber (EPFL semester project)

  • Thomas Renard (EPFL semester project)

Talks (reverse chronologically)

Teaching

  • (Wharton, UPenn) Instructor for “Convex Optimization for Statistics and Data Science”

  • (EPFL) Teaching assistant for: Optimization on manifolds, Analysis II, Analysis III, Analysis IV, linear algebra.