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
712019
An accelerated first-order method for non-convex optimization on manifolds
C Criscitiello, N Boumal
Foundations of Computational Mathematics 23 (4), 1433-1509, 2023
312023
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
23*2022
Curvature and complexity: Better lower bounds for geodesically convex optimization
C Criscitiello, N Boumal
arXiv preprint arXiv:2306.02959, 2023
32023
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
2*2023
Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties
D Martínez-Rubio, C Roux, C Criscitiello, S Pokutta
arXiv preprint arXiv:2305.16186, 2023
22023
The system can't perform the operation now. Try again later.
Articles 1–6