Trung Phung

3 papers · 2021–2024 · 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 (11)

Venues

AISTATS (1) NeurIPS (1) UAI (1)

Top co-authors

Dinh Phung (2) Trung Le (2) Hung Bui (1) Susan Hannum (1) Jill Marsteller (1) nhật Hồ (1) Kimberly Weems (1) Ayse Gurses (1) Toan Tran (1) Sara Keller (1)

Research topics

Machine Learning (3) Artificial Intelligence (2) Application Areas (2) Optimization & Theory (2) Deep Learning (1) Knowledge & Reasoning (1) Bayesian & Probabilistic (1) Core AI (1) Learning Paradigms (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Reasoning (1)

Keywords

domain adaptation (2) domain generalization (2) adversarial machine learning (1) sensitivity analysis (1) distributional robustness (1) partial identification (1) adversarial example (1) missing data (1) proxy variable (1) zero-inflated data (1) domain-invariant representation (1) distributional robustness optimization (1) global regularization (1) multiple source domain (1) wasserstein distance (1) effect restoration (1) transfer learning (1)

Papers

Zero Inflation as a Missing Data Problem: a Proxy-based Approach UAI 2024 Global-Local Regularization Via Distributional Robustness AISTATS 2023 On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources NeurIPS 2021