Tran-The, Hung

9 publications

NeurIPS 2025 ROOT: Rethinking Offline Optimization as Distributional Translation via Probabilistic Bridge Manh Cuong Dao, The Hung Tran, Phi Le Nguyen, Thao Nguyen Truong, Trong Nghia Hoang

ECML-PKDD 2024 High-Dimensional Bayesian Optimization via Random Projection of Manifold Subspaces Hoang-Phuc Nguyen-Dinh, The Hung Tran

AISTATS 2022 Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh

NeurIPS 2022 Expected Improvement for Contextual Bandits Hung Tran-The, Sunil Gupta, Santu Rana, Tuan Truong, Long Tran-Thanh, Svetha Venkatesh

TMLR 2022 On Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks in Besov Spaces Thanh Nguyen-Tang, Sunil Gupta, Hung Tran-The, Svetha Venkatesh

ICML 2021 Bayesian Optimistic Optimisation with Exponentially Decaying Regret Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh

NeurIPS 2020 Sub-Linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces Hung Tran-The, Sunil Gupta, Santu Rana, Huong Ha, Svetha Venkatesh

AAAI 2020 Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh

NeurIPS 2019 Bayesian Optimization with Unknown Search Space Huong Ha, Santu Rana, Sunil Gupta, Thanh Nguyen, Hung Tran-The, Svetha Venkatesh