Revisiting The Role Of Euler Numerical Integration On Acceleration And Stability In Convex Optimization | 0 | 0.34 | 2021 |
Rethinking the Variational Interpretation of Accelerated Optimization Methods. | 0 | 0.34 | 2021 |
Momentum Improves Optimization On Riemannian Manifolds | 0 | 0.34 | 2021 |
On the Second-order Convergence Properties of Random Search Methods. | 0 | 0.34 | 2021 |
Learning explanations that are hard to vary | 0 | 0.34 | 2021 |
An Accelerated DFO Algorithm for Finite-sum Convex Functions | 0 | 0.34 | 2020 |
The Role of Memory in Stochastic Optimization. | 0 | 0.34 | 2019 |
Shadowing Properties of Optimization Algorithms | 0 | 0.34 | 2019 |
Continuous-time Models for Stochastic Optimization Algorithms | 0 | 0.34 | 2018 |