Follow
Christopher Criscitiello
Christopher Criscitiello
Verified email at epfl.ch
Title
Cited by
Cited by
Year
Efficiently escaping saddle points on manifolds
C Criscitiello, N Boumal
Advances in Neural Information Processing Systems 32, 2019
742019
An accelerated first-order method for non-convex optimization on manifolds
C Criscitiello, N Boumal
Foundations of Computational Mathematics 23 (4), 1433-1509, 2023
392023
Negative curvature obstructs acceleration for strongly geodesically convex optimization, even with exact first-order oracles
C Criscitiello, N Boumal
Conference on Learning Theory, 496-542, 2022
232022
Curvature and complexity: Better lower bounds for geodesically convex optimization
C Criscitiello, N Boumal
The Thirty Sixth Annual Conference on Learning Theory, 2969-3013, 2023
62023
Synchronization on circles and spheres with nonlinear interactions
C Criscitiello, Q Rebjock, AD McRae, N Boumal
arXiv preprint arXiv:2405.18273, 2024
32024
Open Problem: Polynomial linearly-convergent method for g-convex optimization?
C Criscitiello, D Martínez-Rubio, N Boumal
The Thirty Sixth Annual Conference on Learning Theory, 5950-5956, 2023
3*2023
Accelerated Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties
D Martínez-Rubio, C Roux, C Criscitiello, S Pokutta
Proceedings of Optimization for Machine Learning (NeurIPS Workshop OPT 2023), 2023
3*2023
Group ID U13785 Affiliated authors Boumal, Nicolas
C Criscitiello, RA Dragomir, S Eggli, AD Mc Rae, AA Musat, Q Rebjock
The system can't perform the operation now. Try again later.
Articles 1–8