Regret Bounds without Lipschitz Continuity: Online Learning with Relative-Lipschitz Losses. - Yihan Zhou; Victor S. Portella; Mark Schmidt 001; Nicholas J. A. Harvey (NeurIPS, 2020)

Efficient and Optimal Fixed-Time Regret with Two Experts. - Laura Greenstreet; Nicholas J. A. Harvey; Victor Sanches Portella (ALT, 2022)

Online Mirror Descent and Dual Averaging: Keeping Pace in the Dynamic Case. - Huang Fang; Nicholas J. A. Harvey; Victor S. Portella; Michael P. Friedlander (J. Mach. Learn. Res., 2022)

Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking. - Frederik Kunstner; Victor Sanches Portella; Mark Schmidt 001; Nicholas J. A. Harvey (NeurIPS, 2023)

Continuous Prediction with Experts' Advice. - Nicholas J. A. Harvey; Christopher Liaw; Victor S. Portella (J. Mach. Learn. Res., 2024)

Lower Bounds for Private Estimation of Gaussian Covariance Matrices under All Reasonable Parameter Regimes. - Victor S. Portella; Nicholas J. A. Harvey (COLT, 2025)