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Quan M. Nguyen
Researcher, A5 Labs / AceGuardian
Joined
February 2022
Names
Quan M. Nguyen
(Preferred)
,
Quan Nguyen
Emails
****@gmail.com
(Confirmed)
,
****@uvic.ca
(Confirmed)
,
****@a.riken.jp
(Confirmed)
Personal Links
Homepage
LinkedIn
Career & Education History
Researcher
A5 Labs / AceGuardian
(a5labs.co)
2025
–
Present
PhD student
University of Victoria
(uvic.ca)
2020
–
2025
Intern
AIP,
RIKEN
(riken.jp)
2024
–
2024
MS student
Universität Hamburg
(uni-hamburg.de)
2015
–
2018
Undergrad student
FPT University
(fpt.edu.vn)
2009
–
2014
Advisors, Relations & Conflicts
Coauthor
Thanh Nguyen-Tang
2025
–
Present
Coauthor
Shinji Ito
2024
–
Present
Coauthor
Junpei Komiyama
2024
–
Present
Coauthor
Cristóbal A Guzmán
2023
–
Present
Coworker
Ali Mortazavi
2021
–
Present
PhD Advisor
Nishant Mehta
2020
–
2025
Expertise
deep learning theory
2024
–
Present
online reinforcement learning
,
online convex optimization
,
multi-task learning
2020
–
Present
Publications
How to Set $\beta_1, \beta_2$ in Adam: An Online Learning Perspective
Quan M. Nguyen
ALT 2026
Readers:
Everyone
How Transformers Learn In-Context Recall Tasks? Optimality, Training Dynamics and Generalization
Quan M. Nguyen
,
Thanh Nguyen-Tang
Submitted to ICLR 2026
Readers:
Everyone
Data-dependent Bounds with-Optimal Best-of-Both-Worlds Guarantees in Multi-Armed Bandits using Stability-Penalty Matching
Quan Nguyen
,
Shinji Ito
,
Junpei Komiyama
,
Nishant A. Mehta
CoRR 2025
Readers:
Everyone
Beyond Minimax Rates in Group Distributionally Robust Optimization via a Novel Notion of Sparsity
Quan M. Nguyen
,
Nishant A Mehta
,
Cristóbal A Guzmán
ICML 2025 poster
Readers:
Everyone
Beyond Minimax Rates in Group Distributionally Robust Optimization via a Novel Notion of Sparsity
Quan Nguyen
,
Nishant A. Mehta
,
Cristóbal Guzmán
CoRR 2024
Readers:
Everyone
Near-optimal Per-Action Regret Bounds for Sleeping Bandits
Quan Nguyen
,
Nishant A. Mehta
CoRR 2024
Readers:
Everyone
Adversarial Online Multi-Task Reinforcement Learning
Quan Nguyen
,
Nishant A. Mehta
2023 (modified: 17 Apr 2023)
ALT 2023
Readers:
Everyone
Adversarial Online Multi-Task Reinforcement Learning
Quan Nguyen
,
Nishant A. Mehta
2023 (modified: 17 Apr 2023)
CoRR 2023
Readers:
Everyone
Improving mix-and-separate training in audio-visual sound source separation with an object prior
Quan Nguyen
,
Julius Richter
,
Mikko Lauri
,
Timo Gerkmann
,
Simone Frintrop
2020 (modified: 11 Nov 2022)
ICPR 2020
Readers:
Everyone
Distance Dependent Maximum Margin Dirichlet Process Mixture
Quan Nguyen
,
Mikko Lauri
,
Simone Frintrop
2019 (modified: 07 Mar 2025)
PRICAI (2) 2019
Readers:
Everyone
View all 11 publications
Co-Authors
Cristóbal A Guzmán
Cristóbal Guzmán
Julius Richter
Junpei Komiyama
Mikko Lauri
Nishant A Mehta
Nishant A. Mehta
Shinji Ito
Simone Frintrop
Thanh Nguyen-Tang
Timo Gerkmann