Hoang, Minh

7 publications

ICLR 2024 Efficient Heterogeneous Meta-Learning via Channel Shuffling Modulation Minh Hoang, Carl Kingsford

AAAI 2024 Few-Shot Learning via Repurposing Ensemble of Black-Box Models Minh Hoang, Trong Nghia Hoang

ICML 2024 Learning Surrogates for Offline Black-Box Optimization via Gradient Matching Minh Hoang, Azza Fadhel, Aryan Deshwal, Jana Doppa, Trong Nghia Hoang

NeurIPS 2024 Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data Pei-Yau Weng, Minh Hoang, Lam M. Nguyen, My T. Thai, Tsui-Wei Weng, Trong Nghia Hoang

ICML 2020 Optimizing Dynamic Structures with Bayesian Generative Search Minh Hoang, Carleton Kingsford

NeurIPS 2020 Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes Minh Hoang, Nghia Hoang, Hai Pham, David Woodruff

ICML 2019 Collective Model Fusion for Multiple Black-Box Experts Minh Hoang, Nghia Hoang, Bryan Kian Hsiang Low, Carleton Kingsford