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ORCIDDuc Thien Nguyen
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2020 – today
- 2024
[c21]Duc Thien Nguyen, Konstantinos Slavakis:
Multi-Linear Kernel Regression and Imputation VIA Manifold Learning: the Dynamic MRI Case. ICASSP 2024: 9466-9470- [i9]Duc Thien Nguyen, Konstantinos Slavakis:
Multilinear Kernel Regression and Imputation via Manifold Learning. CoRR abs/2402.03648 (2024) - [i8]Duc Thien Nguyen, Konstantinos Slavakis, Dimitris Pados:
Imputation of Time-varying Edge Flows in Graphs by Multilinear Kernel Regression and Manifold Learning. CoRR abs/2409.05135 (2024) - 2023
- [i7]Duc Thien Nguyen
, Manh Duc Tuan Nguyen, Truong Son-Hy, Risi Kondor:
Fast Temporal Wavelet Graph Neural Networks. CoRR abs/2302.08643 (2023) - [i6]Duc Thien Nguyen, Konstantinos Slavakis:
Multi-Linear Kernel Regression and Imputation in Data Manifolds. CoRR abs/2304.03041 (2023) - 2022
- [c20]Supriyo Ghosh, Laura Wynter, Shiau Hong Lim, Duc Thien Nguyen:
Neural-progressive hedging: Enforcing constraints in reinforcement learning with stochastic programming. UAI 2022: 707-717 - [i5]Supriyo Ghosh, Laura Wynter, Shiau Hong Lim, Duc Thien Nguyen:
Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming. CoRR abs/2202.13436 (2022) - 2021
- [i4]Duc Thien Nguyen, Shiau Hong Lim, Laura Wynter, Desmond Cai:
Probabilistic Inference for Learning from Untrusted Sources. CoRR abs/2101.06171 (2021) - 2020
- [c19]Desmond Cai, Duc Thien Nguyen, Shiau Hong Lim, Laura Wynter:
Variational Bayesian Inference for Crowdsourcing Predictions. CDC 2020: 3166-3172 - [i3]Desmond Cai, Duc Thien Nguyen, Shiau Hong Lim, Laura Wynter:
Variational Bayesian Inference for Crowdsourcing Predictions. CoRR abs/2006.00778 (2020)
2010 – 2019
- 2019
- [j2]Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau, Roie Zivan:
Distributed Gibbs: A Linear-Space Sampling-Based DCOP Algorithm. J. Artif. Intell. Res. 64: 705-748 (2019) - [c18]Arambam James Singh, Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau:
Multiagent Decision Making For Maritime Traffic Management. AAAI 2019: 6171-6178 - [c17]Jonathan Chase, Duc Thien Nguyen, Haiyang Sun, Hoong Chuin Lau:
Improving Law Enforcement Daily Deployment Through Machine Learning-Informed Optimization under Uncertainty. IJCAI 2019: 5815-5821 - 2018
- [c16]Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau:
Credit Assignment For Collective Multiagent RL With Global Rewards. NeurIPS 2018: 8113-8124 - [i2]Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau:
Policy Gradient With Value Function Approximation For Collective Multiagent Planning. CoRR abs/1804.02884 (2018) - 2017
- [c15]Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau:
Collective Multiagent Sequential Decision Making Under Uncertainty. AAAI 2017: 3036-3043 - [c14]Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau:
Policy Gradient With Value Function Approximation For Collective Multiagent Planning. NIPS 2017: 4319-4329 - 2016
- [j1]Duc Thien Nguyen, Annalisa Terracina, Luca Iocchi, Massimo Mecella:
Robotic Teaching Assistance for the "Tower of Hanoi" Problem. Int. J. Distance Educ. Technol. 14(1): 64-76 (2016) - [c13]Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau, Daniel Sheldon:
Approximate Inference Using DC Programming For Collective Graphical Models. AISTATS 2016: 685-693 - 2015
- [c12]Duc Thien Nguyen, Hoong Chuin Lau, Akshat Kumar:
Decomposition techniques for urban consolidation problems. CASE 2015: 57-62 - 2014
- [c11]Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau, Shlomo Zilberstein, Chongjie Zhang:
Decentralized Multi-Agent Reinforcement Learning in Average-Reward Dynamic DCOPs. AAAI 2014: 1447-1455 - [c10]T. K. Satish Kumar, Duc Thien Nguyen, William Yeoh, Sven Koenig:
A Simple Polynomial-Time Randomized Distributed Algorithm for Connected Row Convex Constraints. AAAI 2014: 2308-2314 - [c9]Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau, Shlomo Zilberstein, Chongjie Zhang:
Decentralized multi-agent reinforcement learning in average-reward dynamic DCOPs. AAMAS 2014: 1341-1342 - [c8]Shih-Fen Cheng, Duc Thien Nguyen, Hoong Chuin Lau:
Mechanisms for arranging ride sharing and fare splitting for last-mile travel demands. AAMAS 2014: 1505-1506 - [c7]Stephanus Daniel Handoko, Duc Thien Nguyen, Hoong Chuin Lau:
An auction mechanism for the last-mile deliveries via urban consolidation centre. CASE 2014: 607-612 - [c6]Stephanus Daniel Handoko, Duc Thien Nguyen, Zhi Yuan, Hoong Chuin Lau:
Reinforcement learning for adaptive operator selection in memetic search applied to quadratic assignment problem. GECCO (Companion) 2014: 193-194 - [c5]Zhi Yuan, Stephanus Daniel Handoko, Duc Thien Nguyen, Hoong Chuin Lau:
An Empirical Study of Off-Line Configuration and On-Line Adaptation in Operator Selection. LION 2014: 62-76 - 2013
- [c4]Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau:
Distributed Gibbs: a memory-bounded sampling-based DCOP algorithm. AAMAS 2013: 167-174 - 2012
- [c3]Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau:
Stochastic dominance in stochastic DCOPs for risk-sensitive applications. AAMAS 2012: 257-264 - [c2]Shih-Fen Cheng, Duc Thien Nguyen, Hoong Chuin Lau:
A Mechanism for Organizing Last-Mile Service Using Non-dedicated Fleet. IAT 2012: 85-89 - [c1]Hoong Chuin Lau, William Yeoh, Pradeep Varakantham, Duc Thien Nguyen, HuaXing Chen:
Dynamic Stochastic Orienteering Problems for Risk-Aware Applications. UAI 2012: 448-458 - [i1]Hoong Chuin Lau, William Yeoh, Pradeep Varakantham, Duc Thien Nguyen, HuaXing Chen:
Dynamic Stochastic Orienteering Problems for Risk-Aware Applications. CoRR abs/1210.4874 (2012)
Coauthor Index
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