Victor S. Portella

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 7

Top Topics

Riemannian Metric

Online Learning

Top Venues

J. Mach. Learn. Res.

Publications

Victor S. Portella, Nick Harvey
Lower Bounds for Private Estimation of Gaussian Covariance Matrices under All Reasonable Parameter Regimes. CoRR (2024)
Frederik Kunstner, Victor S. Portella, Mark Schmidt, Nick Harvey
Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking. CoRR (2023)
Huang Fang, Nicholas J. A. Harvey, Victor S. Portella, Michael P. Friedlander
Online Mirror Descent and Dual Averaging: Keeping Pace in the Dynamic Case. J. Mach. Learn. Res. 23 (2022)
Yihan Zhou, Victor S. Portella, Mark Schmidt, Nicholas J. A. Harvey
Regret Bounds without Lipschitz Continuity: Online Learning with Relative-Lipschitz Losses. NeurIPS (2020)
Yihan Zhou, Victor S. Portella, Mark Schmidt, Nicholas J. A. Harvey
Regret Bounds without Lipschitz Continuity: Online Learning with Relative-Lipschitz Losses. CoRR (2020)
Huang Fang, Nick Harvey, Victor S. Portella, Michael P. Friedlander
Online mirror descent and dual averaging: keeping pace in the dynamic case. ICML (2020)
Huang Fang, Nicholas J. A. Harvey, Victor S. Portella, Michael P. Friedlander
Online mirror descent and dual averaging: keeping pace in the dynamic case. CoRR (2020)