Victor S. Portella

According to our database, Victor S. Portella authored at least 7 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

A second order regret bound for NormalHedge.

Yoav Freund, Nicholas J. A. Harvey, Victor S. Portella, Yabing Qi, Yu-Xiang Wang

CoRR, February, 2026

2025

Lower Bounds for Private Estimation of Gaussian Covariance Matrices under All Reasonable Parameter Regimes.

Victor S. Portella, Nicholas J. A. Harvey

Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025

2024

Continuous Prediction with Experts' Advice.

Nicholas J. A. Harvey, Christopher Liaw, Victor S. Portella

J. Mach. Learn. Res., 2024

2023

Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking.

Frederik Kunstner, Victor Sanches Portella, Mark Schmidt, Nicholas J. A. Harvey

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Efficient and Optimal Fixed-Time Regret with Two Experts.

Laura Greenstreet, Nicholas J. A. Harvey, Victor Sanches Portella

Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022

2020

Regret Bounds without Lipschitz Continuity: Online Learning with Relative-Lipschitz Losses.

Yihan Zhou, Victor S. Portella, Mark Schmidt, Nicholas J. A. Harvey

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Online mirror descent and dual averaging: keeping pace in the dynamic case.

Huang Fang, Nick Harvey, Victor S. Portella, Michael P. Friedlander

Proceedings of the 37th International Conference on Machine Learning, 2020