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Victor S. Portella
Postdoc, Department of Computer Science, University of São Paulo, Universidade de São Paulo
Joined
April 2021
Names
Victor S. Portella
(Preferred)
,
Victor Sanches Portella
Emails
****@cs.ubc.ca
(Confirmed)
,
****@gmail.com
(Confirmed)
,
****@ime.usp.br
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
Career & Education History
Postdoc
Department of Computer Science,
University of São Paulo, Universidade de São Paulo
(ime.usp.br)
2024
–
Present
PhD student
Department of Computer Science,
Department of Computer Science, University of British Columbia
(cs.ubc.ca)
2019
–
2024
Masters student
Department of Computer Science,
University of São Paulo, Universidade de Sao Paulo
(ime.usp.br)
2017
–
2019
Advisors, Relations & Conflicts
Coauthor
Yu-Xiang Wang
2026
–
2026
Coworker
Cristóbal A Guzmán
2025
–
2026
Coauthor
Ryan D'Orazio
2024
–
2026
Coauthor
Yoav Freund
2024
–
2026
Coworker
Frederik Kunstner
2019
–
2026
PhD Advisor
Nicholas J. A. Harvey
2019
–
2024
Coauthor
Mark Schmidt
2019
–
2020
Coworker
Marcel Kenji de Carli Silva
2015
–
2019
Expertise
Algorithm design
,
algorithm analysis
,
combinatorial optimization
,
submodular optimization
Present
Online optimization
,
online learning
,
mirror descent
Present
Convex optimization
,
linear optimization
,
stochastic gradient descent
Present
Differential privacy
,
theory
Present
Randomized algorithms
,
streaming
,
online
Present
Publications
Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking
Frederik Kunstner
,
Victor S. Portella
,
Mark Schmidt
,
Nick Harvey
Published: 01 Jan 2023, Last Modified: 28 Aug 2023
CoRR 2023
Readers:
Everyone
Online Mirror Descent and Dual Averaging: Keeping Pace in the Dynamic Case
Huang Fang
,
Nicholas J. A. Harvey
,
Victor S. Portella
,
Michael P. Friedlander
Published: 01 Jan 2022, Last Modified: 28 Aug 2023
J. Mach. Learn. Res. 2022
Readers:
Everyone
Efficient and Optimal Fixed-Time Regret with Two Experts
Laura Greenstreet
,
Nicholas J. A. Harvey
,
Victor Sanches Portella
2022 (modified: 26 Dec 2022)
ALT 2022
Readers:
Everyone
Continuous Prediction with Experts' Advice
Victor Sanches Portella
,
Christopher Liaw
,
Nicholas J. A. Harvey
2022 (modified: 26 Dec 2022)
CoRR 2022
Readers:
Everyone
Efficient and Optimal Fixed-Time Regret with Two Experts
Laura Greenstreet
,
Nicholas J. A. Harvey
,
Victor Sanches Portella
Published: 01 Jan 2022, Last Modified: 17 May 2023
CoRR 2022
Readers:
Everyone
Regret Bounds without Lipschitz Continuity: Online Learning with Relative-Lipschitz Losses
Yihan Zhou
,
Victor S. Portella
,
Mark Schmidt
,
Nicholas J. A. Harvey
Published: 01 Jan 2020, Last Modified: 17 May 2023
NeurIPS 2020
Readers:
Everyone
Online mirror descent and dual averaging: keeping pace in the dynamic case
Huang Fang
,
Nicholas J. A. Harvey
,
Victor S. Portella
,
Michael P. Friedlander
Published: 01 Jan 2020, Last Modified: 17 May 2023
CoRR 2020
Readers:
Everyone
Regret Bounds without Lipschitz Continuity: Online Learning with Relative-Lipschitz Losses
Yihan Zhou
,
Victor S. Portella
,
Mark Schmidt
,
Nicholas J. A. Harvey
2020 (modified: 05 Nov 2022)
CoRR 2020
Readers:
Everyone
Online mirror descent and dual averaging: keeping pace in the dynamic case
Huang Fang
,
Nick Harvey
,
Victor S. Portella
,
Michael P. Friedlander
2020 (modified: 17 May 2023)
ICML 2020
Readers:
Everyone
Co-Authors
Christopher Liaw
Frederik Kunstner
Huang Fang
Laura Greenstreet
Mark Schmidt
Michael P. Friedlander
Nicholas J. A. Harvey
Yihan Zhou