Hung Tran-The

According to our database1, Hung Tran-The authored at least 24 papers between 2012 and 2023.

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Bibliography

2023
NeuralBO: A black-box optimization algorithm using deep neural networks.
Neurocomputing, November, 2023

Neural-BO: A Black-box Optimization Algorithm using Deep Neural Networks.
CoRR, 2023

Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data.
Proceedings of the International Conference on Machine Learning, 2023

A Probabilistic Framework for Pruning Transformers Via a Finite Admixture of Keys.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
On Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks in Besov Spaces.
Trans. Mach. Learn. Res., 2022

Expected Improvement for Contextual Bandits.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Combining Online Learning and Offline Learning for Contextual Bandits with Deficient Support.
CoRR, 2021

On Finite-Sample Analysis of Offline Reinforcement Learning with Deep ReLU Networks.
CoRR, 2021

Bayesian Optimistic Optimisation with Exponentially Decaying Regret.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Bayesian Optimization with Unknown Search Space.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
HealthyClassroom - A Proof-of-Concept Study for Discovering Students' Daily Moods and Classroom Emotions to Enhance a Learning-teaching Process using Heterogeneous Sensors.
Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

2017
Finding Spatiotemporal Co-occurrence Patterns of Heterogeneous Events for Prediction.
Proceedings of the 3rd ACM SIGSPATIAL Workshop on Emergency Management using, Redondo Beach, CA, USA, November 07, 2017

Discovering co-occurrence patterns of heterogeneous events from unevenly-distributed spatiotemporal data.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2015
Fast Approximate near Neighbor Algorithm by Clustering in High Dimensions.
Proceedings of the 2015 Seventh International Conference on Knowledge and Systems Engineering, 2015

2014
Tight Bounds for Stabilizing Uniform Consensus in Mobile Networks.
Proceedings of the Stabilization, Safety, and Security of Distributed Systems, 2014

Leader Election in Rings with Homonyms.
Proceedings of the Networked Systems - Second International Conference, 2014

2013
Problème du Consensus dans le Modèle Homonyme. (The consensus problem in Homonymous models).
PhD thesis, 2013

Byzantine agreement with homonyms in synchronous systems.
Theor. Comput. Sci., 2013

Byzantine agreement with homonyms.
Distributed Comput., 2013

Uniform Consensus with Homonyms and Omission Failures.
Proceedings of the Distributed Computing and Networking, 14th International Conference, 2013

2012
Homonyms with Forgeable Identifiers.
Proceedings of the Structural Information and Communication Complexity, 2012


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