Nong Minh Hieu

5 papers · 2023–2026 · 3 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

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15)

Venues

AAAI (2) ICML (2) AISTATS (1)

Top co-authors

Antoine Ledent (3) Tan Minh Nguyen (1) Neil K. Chada (1) Khang Nguyen (1) Stanley Osher (1) nhật Hồ (1) Vinh Duc Nguyen (1) Jeremie Houssineau (1) Cheng Yeaw Ku (1) Soo Mun Chong (1)

Research topics

Machine Learning (5) Learning Types · Machine Learning (4) Optimization & Theory (4) Deep Learning (3) Core Methods (2) Learning Types · Deep Learning (2) Data Science & Analytics (1) Mathematics & Optimization (1) Applications (1) Architectures (1) Bayesian & Probabilistic (1) Mathematics (1)

Keywords

covering number (2) generalization bound (2) contrastive learning (1) semi-supervised learning (1) bayesian inference (1) epistemic uncertainty (1) sample complexity (1) neural network optimization (1) message passing (1) maximum a posteriori (1) excess risk (1) stochastic process (1) matrix completion (1) low-rank recovery (1) u-statistics (1) generalization (1) recommender system (1) aleatoric uncertainty (1) possibility theory (1) contrastive representation learning (1)

Papers

Generalization Bounds for Semi-supervised Matrix Completion with Distributional Side Information AAAI 2026 Decoupling epistemic and aleatoric uncertainties with possibility theory AISTATS 2025 Generalization Analysis for Deep Contrastive Representation Learning AAAI 2025 Generalization Analysis for Supervised Contrastive Representation Learning under Non-IID Settings ICML 2025 Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature ICML 2023