Quoc Phong Nguyen
16 papers · 2015–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (33) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Grand Slam
π€
Dynamic Duo
(16)
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
π
Trend Setter
ποΈ
Keyword Collector
(69)
Top co-authors
Research topics
Machine Learning
(16)
Optimization & Theory
(10)
Artificial Intelligence
(8)
Bayesian & Probabilistic Β· Machine Learning
(8)
Mathematics & Optimization
(6)
Core AI
(5)
Application Areas
(4)
Learning Types
(4)
Optimization
(4)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Reinforcement Learning
(2)
Core Methods
(2)
Learning Paradigms
(2)
Mathematics
(2)
Methods
(2)
Keywords
bayesian optimization
(12)
gaussian process
(6)
upper confidence bound
(3)
regret bound
(3)
acquisition function
(3)
inverse reinforcement learning
(2)
active learning
(2)
entropy search
(2)
thompson sampling
(2)
reward function
(2)
batch optimization
(2)
conditional value at risk
(2)
black-box optimization
(2)
constrained optimization
(1)
machine unlearning
(1)
policy learning
(1)
expectation maximization
(1)
policy optimization
(1)
sample efficiency
(1)
kl divergence
(1)
Papers
BILBO: BILevel Bayesian Optimization
ICML 2025
Active Set Ordering
NeurIPS 2024
Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes
ICLR 2024
Optimistic Bayesian Optimization with Unknown Constraints
ICLR 2024
Batch Bayesian Optimization For Replicable Experimental Design
NeurIPS 2023
No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities
AISTATS 2023
Trade-off between Payoff and Model Rewards in Shapley-Fair Collaborative Machine Learning
NeurIPS 2022
An Information-Theoretic Framework for Unifying Active Learning Problems
AAAI 2021
Learning to learn with Gaussian processes
UAI 2021
Optimizing Conditional Value-At-Risk of Black-Box Functions
NeurIPS 2021
Top-k Ranking Bayesian Optimization
AAAI 2021
Trusted-maximizers entropy search for efficient Bayesian optimization
UAI 2021
Value-at-Risk Optimization with Gaussian Processes
ICML 2021
Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization
NeurIPS 2020
Variational Bayesian Unlearning
NeurIPS 2020
Inverse Reinforcement Learning with Locally Consistent Reward Functions
NeurIPS 2015