Hai Nguyen
6 papers · 2020–2026 · 5 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 ↓+1 more ↓ Show less ↑
🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird
❓
The Questioner
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(3)
Deep Learning
(3)
Mathematics & Optimization
(3)
Learning Types · Machine Learning
(3)
Optimization & Theory
(3)
Core AI
(2)
Core Methods
(2)
Optimization
(2)
Application Areas
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Mathematics
(1)
Models
(1)
Techniques
(1)
Keywords
optimal transport
(3)
causal inference
(1)
representation learning
(1)
catastrophic forgetting
(1)
conformal prediction
(1)
ridge regression
(1)
sample complexity
(1)
minimax optimality
(1)
point cloud
(1)
policy learning
(1)
partial observability
(1)
minimax regret
(1)
mixture model
(1)
phase transition
(1)
variational autoencoder
(1)
credal set
(1)
prediction interval
(1)
information-theoretic bound
(1)
average treatment effect
(1)
auxiliary loss
(1)
Papers
An Optimal Transport-driven Approach for Cultivating Latent Space in Online Incremental Learning
CVPR 2026
Information-Theoretic Lower Bounds for Causal Inference under Credal Uncertainty
UAI 2026
When Does Model Multiplicity Affect Prediction Intervals? A Sharp Phase Transition
UAI 2026
Lightspeed Geometric Dataset Distance via Sliced Optimal Transport
ICML 2025
Towards Marginal Fairness Sliced Wasserstein Barycenter
ICLR 2025
Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability
CoRL 2020