25 citations · 50 across the 14 of their papers we have counts for
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stat.ML2023
Provably Efficient Bayesian Optimization with Unknown Gaussian Process Hyperparameter Estimation
Huong Ha, Vu Nguyen, Hung Tran-The +3
Gaussian process (GP) based Bayesian optimization (BO) is a powerful method for optimizing black-box functions efficiently. The practical performance and theoretical guarantees of…
cs.LG2023★ 14 cited
Neural-BO: A Black-box Optimization Algorithm using Deep Neural Networks
Dat Phan-Trong, Hung Tran-The, Sunil Gupta
Bayesian Optimization (BO) is an effective approach for global optimization of black-box functions when function evaluations are expensive. Most prior works use Gaussian processes…
cs.LG2023★ 1 cited
Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data
Hien Dang, Tho Tran, Stanley Osher +3
Modern deep neural networks have achieved impressive performance on tasks from image classification to natural language processing. Surprisingly, these complex systems with massive…