Duc Thien Nguyen

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 18

Top Topics

Kernel Regression

Reinforcement Learning

Nadaraya Watson

Variational Bayesian Inference

Top Venues

Publications

Duc Thien Nguyen, Konstantinos Slavakis
Multilinear Kernel Regression and Imputation via Manifold Learning. CoRR (2024)
Duc Thien Nguyen, Konstantinos Slavakis
Multi-Linear Kernel Regression and Imputation VIA Manifold Learning: the Dynamic MRI Case. ICASSP (2024)
Duc Thien Nguyen, Manh Duc Tuan Nguyen, Truong Son-Hy, Risi Kondor
Fast Temporal Wavelet Graph Neural Networks. CoRR (2023)
Duc Thien Nguyen, Konstantinos Slavakis
Multi-Linear Kernel Regression and Imputation in Data Manifolds. CoRR (2023)
Supriyo Ghosh, Laura Wynter, Shiau Hong Lim, Duc Thien Nguyen
Neural-progressive hedging: Enforcing constraints in reinforcement learning with stochastic programming. UAI (2022)
Supriyo Ghosh, Laura Wynter, Shiau Hong Lim, Duc Thien Nguyen
Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming. CoRR (2022)
Duc Thien Nguyen, Shiau Hong Lim, Laura Wynter, Desmond Cai
Probabilistic Inference for Learning from Untrusted Sources. CoRR (2021)
Desmond Cai, Duc Thien Nguyen, Shiau Hong Lim, Laura Wynter
Variational Bayesian Inference for Crowdsourcing Predictions. CoRR (2020)
Desmond Cai, Duc Thien Nguyen, Shiau Hong Lim, Laura Wynter
Variational Bayesian Inference for Crowdsourcing Predictions. CDC (2020)
Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau, Roie Zivan
Distributed Gibbs: A Linear-Space Sampling-Based DCOP Algorithm. J. Artif. Intell. Res. 64 (2019)
Arambam James Singh, Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau
Multiagent Decision Making For Maritime Traffic Management. AAAI (2019)
Jonathan Chase, Duc Thien Nguyen, Haiyang Sun, Hoong Chuin Lau
Improving Law Enforcement Daily Deployment Through Machine Learning-Informed Optimization under Uncertainty. IJCAI (2019)
Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau
Credit Assignment For Collective Multiagent RL With Global Rewards. NeurIPS (2018)
Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau
Policy Gradient With Value Function Approximation For Collective Multiagent Planning. CoRR (2018)
Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau
Collective Multiagent Sequential Decision Making Under Uncertainty. AAAI (2017)
Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau
Policy Gradient With Value Function Approximation For Collective Multiagent Planning. NIPS (2017)
Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau, Daniel Sheldon
Approximate Inference Using DC Programming For Collective Graphical Models. AISTATS (2016)
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) (2016)
Duc Thien Nguyen, Hoong Chuin Lau, Akshat Kumar
Decomposition techniques for urban consolidation problems. CASE (2015)
Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau, Shlomo Zilberstein, Chongjie Zhang
Decentralized multi-agent reinforcement learning in average-reward dynamic DCOPs. AAMAS (2014)
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)
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)
Stephanus Daniel Handoko, Duc Thien Nguyen, Hoong Chuin Lau
An auction mechanism for the last-mile deliveries via urban consolidation centre. CASE (2014)
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)
Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau, Shlomo Zilberstein, Chongjie Zhang
Decentralized Multi-Agent Reinforcement Learning in Average-Reward Dynamic DCOPs. AAAI (2014)
Shih-Fen Cheng, Duc Thien Nguyen, Hoong Chuin Lau
Mechanisms for arranging ride sharing and fare splitting for last-mile travel demands. AAMAS (2014)
Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau
Distributed Gibbs: a memory-bounded sampling-based DCOP algorithm. AAMAS (2013)
Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau
Stochastic dominance in stochastic DCOPs for risk-sensitive applications. AAMAS (2012)
Hoong Chuin Lau, William Yeoh, Pradeep Varakantham, Duc Thien Nguyen, HuaXing Chen
Dynamic Stochastic Orienteering Problems for Risk-Aware Applications. UAI (2012)
Hoong Chuin Lau, William Yeoh, Pradeep Varakantham, Duc Thien Nguyen, HuaXing Chen
Dynamic Stochastic Orienteering Problems for Risk-Aware Applications CoRR (2012)
Shih-Fen Cheng, Duc Thien Nguyen, Hoong Chuin Lau
A Mechanism for Organizing Last-Mile Service Using Non-dedicated Fleet. IAT (2012)