← Authors

Nghia Hoang

9 papers · 2019–2023 · 4 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (18) 🐝 Cross-Pollinator (15) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ”₯ Unstoppable (5)

Conferences

ICML (4) NIPS (3) AISTATS (1) ICCV (1)

Top co-authors

Bryan Kian Hsiang Low (4) Patrick Jaillet (3) Soumya Ghosh (2) Mayank Agarwal (2) Kristjan Greenewald (2) Mikhail Yurochkin (2) Minh Hoang (2) Pin-Yu Chen (1) Thanh Lam (1) Yehong Zhang (1)

Keywords

model fusion (3) gaussian process (2) representation learning (1) multi-task learning (1) bayesian nonparametrics (1) probabilistic modeling (1) ensemble learning (1) transfer learning (1) bayesian inference (1) knowledge distillation (1) sample complexity (1) distributed learning (1) model aggregation (1) data valuation (1) metric learning (1) differential privacy (1) nonparametric model (1) sparse approximation (1) hierarchical dirichlet process (1) federated learning (1)

Papers

Incentives in Private Collaborative Machine Learning NIPS 2023
Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback AISTATS 2022
Model Fusion for Personalized Learning ICML 2021
Learning Task-Agnostic Embedding of Multiple Black-Box Experts for Multi-Task Model Fusion ICML 2020
Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes NIPS 2020
On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method ICCV 2019
Statistical Model Aggregation via Parameter Matching NIPS 2019
Collective Model Fusion for Multiple Black-Box Experts ICML 2019
Bayesian Nonparametric Federated Learning of Neural Networks ICML 2019