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2020 – today
- 2024
[j2]Nicholas J. A. Harvey, Christopher Liaw, Victor S. Portella:
Continuous Prediction with Experts' Advice. J. Mach. Learn. Res. 25: 228:1-228:32 (2024)- [i6]Victor S. Portella, Nick Harvey:
Lower Bounds for Private Estimation of Gaussian Covariance Matrices under All Reasonable Parameter Regimes. CoRR abs/2404.17714 (2024) - 2023
- [c4]Frederik Kunstner, Victor Sanches Portella, Mark Schmidt, Nicholas J. A. Harvey:
Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking. NeurIPS 2023 - [i5]Frederik Kunstner, Victor S. Portella, Mark Schmidt, Nick Harvey:
Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking. CoRR abs/2306.02527 (2023) - 2022
- [j1]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: 121:1-121:38 (2022) - [c3]Laura Greenstreet, Nicholas J. A. Harvey, Victor Sanches Portella:
Efficient and Optimal Fixed-Time Regret with Two Experts. ALT 2022: 436-464 - [i4]Laura Greenstreet
, Nicholas J. A. Harvey, Victor Sanches Portella:
Efficient and Optimal Fixed-Time Regret with Two Experts. CoRR abs/2203.07577 (2022) - [i3]Victor Sanches Portella, Christopher Liaw, Nicholas J. A. Harvey:
Continuous Prediction with Experts' Advice. CoRR abs/2206.00236 (2022) - 2020
- [c2]Huang Fang, Nick Harvey, Victor S. Portella, Michael P. Friedlander:
Online mirror descent and dual averaging: keeping pace in the dynamic case. ICML 2020: 3008-3017 - [c1]Yihan Zhou, Victor S. Portella, Mark Schmidt, Nicholas J. A. Harvey:
Regret Bounds without Lipschitz Continuity: Online Learning with Relative-Lipschitz Losses. NeurIPS 2020 - [i2]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 abs/2006.02585 (2020) - [i1]Yihan Zhou, Victor S. Portella, Mark Schmidt, Nicholas J. A. Harvey:
Regret Bounds without Lipschitz Continuity: Online Learning with Relative-Lipschitz Losses. CoRR abs/2010.12033 (2020)
Coauthor Index
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