Minh Hoang
9 papers · 2019–2026 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (24) π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver
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Triple Crown
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Grand Slam
Venues
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(5)
Artificial Intelligence
(4)
Deep Learning
(4)
Mathematics & Optimization
(3)
Learning Paradigms
(3)
Learning Types Β· Machine Learning
(3)
Optimization
(3)
Architectures
(2)
Learning Types Β· Deep Learning
(2)
Reinforcement Learning
(1)
Application Areas
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Core Methods
(1)
Keywords
black-box model
(2)
bayesian optimization
(2)
probabilistic modeling
(2)
few-shot learning
(2)
model aggregation
(1)
domain adaptation
(1)
transfer learning
(1)
density estimation
(1)
black-box optimization
(1)
sample complexity
(1)
computer vision
(1)
model fusion
(1)
gaussian process
(1)
sparse approximation
(1)
permutation learning
(1)
kernel selection
(1)
ensemble learning
(1)
data heterogeneity
(1)
surrogate model
(1)
catastrophic forgetting
(1)
Papers
Nanoporous Materials Discovery via Search Bias-Guided Surrogate Modeling
AAAI 2026
Task-Free Continual Learning via Order-Invariant Linearized Adaptation and Density-Guided Adapter Routing
UAI 2026
Efficient Heterogeneous Meta-Learning via Channel Shuffling Modulation
ICLR 2024
Few-Shot Learning via Repurposing Ensemble of Black-Box Models
AAAI 2024
Learning Surrogates for Offline Black-Box Optimization via Gradient Matching
ICML 2024
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data
NeurIPS 2024
Optimizing Dynamic Structures with Bayesian Generative Search
ICML 2020
Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes
NeurIPS 2020
Collective Model Fusion for Multiple Black-Box Experts
ICML 2019