Shiau Hong Lim

Publication Activity (10 Years)

Years Active: 2005-2022
Publications (10 Years): 21

Top Topics

Graph Clustering

Reinforcement Learning

Variational Bayesian Inference

Top Venues

Publications

Shiau Hong Lim, Ilyas Malik
Distributional Reinforcement Learning for Risk-Sensitive Policies. NeurIPS (2022)
Supriyo Ghosh, Laura Wynter, Shiau Hong Lim, Duc Thien Nguyen
Neural-progressive hedging: Enforcing constraints in reinforcement learning with stochastic programming. UAI (2022)
Yu Chin, Fabian Lim, Laura Wynter, Shiau Hong Lim
Order Constraints in Optimal Transport. ICML (2022)
Supriyo Ghosh, Laura Wynter, Shiau Hong Lim, Duc Thien Nguyen
Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming. CoRR (2022)
Shiau Hong Lim, Laura Wynter
Q2R: A Query-to-Resolution System for Natural-Language Queries. NAACL-HLT (Industry Papers) (2022)
Achintya Kundu, Pengqian Yu, Laura Wynter, Shiau Hong Lim
Robustness and Personalization in Federated Learning: A Unified Approach via Regularization. EDGE (2022)
Desmond Cai, Shiau Hong Lim, Laura Wynter
Efficient Reinforcement Learning in Resource Allocation Problems Through Permutation Invariant Multi-task Learning. CDC (2021)
Duc Thien Nguyen, Shiau Hong Lim, Laura Wynter, Desmond Cai
Probabilistic Inference for Learning from Untrusted Sources. CoRR (2021)
Fabian Lim, Laura Wynter, Shiau Hong Lim
Order Constraints in Optimal Transport. CoRR (2021)
Supriyo Ghosh, Sean Laguna, Shiau Hong Lim, Laura Wynter, Hasan Poonawala
A Deep Ensemble Method for Multi-Agent Reinforcement Learning: A Case Study on Air Traffic Control. ICAPS (2021)
Desmond Cai, Shiau Hong Lim, Laura Wynter
Efficient Reinforcement Learning in Resource Allocation Problems Through Permutation Invariant Multi-task Learning. CoRR (2021)
Pengqian Yu, Laura Wynter, Shiau Hong Lim
Fed+: A Family of Fusion Algorithms for Federated Learning. CoRR (2020)
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)
Supriyo Ghosh, Sean Laguna, Shiau Hong Lim, Laura Wynter, Hasan Poonawala
A Deep Ensemble Multi-Agent Reinforcement Learning Approach for Air Traffic Control. CoRR (2020)
Gavin Yeo, Shiau Hong Lim, Laura Wynter, Hifaz Hassan
MPA-IBM Project SAFER: Sense-Making Analytics for Maritime Event Recognition. INFORMS J. Appl. Anal. 49 (4) (2019)
Shiau Hong Lim, Hasan Poonawala, Laura Wynter
Combining Micro and Macro Features for Online Pattern-of-Life Movement Prediction. ICDM Workshops (2019)
Shiau Hong Lim, Arnaud Autef
Kernel-Based Reinforcement Learning in Robust Markov Decision Processes. ICML (2019)
Shiau Hong Lim, Gregory Calvez
Labeled Graph Clustering via Projected Gradient Descent. AISTATS (2018)
Shiau Hong Lim, Yudong Chen, Huan Xu
Clustering from General Pairwise Observations with Applications to Time-varying Graphs. J. Mach. Learn. Res. 18 (2017)
Shiau Hong Lim, Huan Xu, Shie Mannor
Reinforcement Learning in Robust Markov Decision Processes. Math. Oper. Res. 41 (4) (2016)
Shiau Hong Lim, Yudong Chen, Huan Xu
A Convex Optimization Framework for Bi-Clustering. ICML (2015)
Yudong Chen, Shiau Hong Lim, Huan Xu
Weighted Graph Clustering with Non-Uniform Uncertainties. ICML (2014)
Shiau Hong Lim, Yudong Chen, Huan Xu
Clustering from Labels and Time-Varying Graphs. NIPS (2014)
Shiau Hong Lim, Huan Xu, Shie Mannor
Reinforcement Learning in Robust Markov Decision Processes. NIPS (2013)
Shiau Hong Lim, Peter Auer
Autonomous Exploration For Navigating In MDPs. COLT (2012)
Shiau Hong Lim, Peter Auer
Noisy Search with Comparative Feedback CoRR (2012)
Peter Auer, Shiau Hong Lim, Chris Watkins
Models for Autonomously Motivated Exploration in Reinforcement Learning. Discovery Science (2011)
Shiau Hong Lim, Peter Auer
Noisy Search with Comparative Feedback. UAI (2011)
Peter Auer, Shiau Hong Lim, Chris Watkins
Models for Autonomously Motivated Exploration in Reinforcement Learning - (Extended Abstract). ALT (2011)
Shiau Hong Lim, Li-Lun Wang, Gerald DeJong
Integrating prior domain knowledge into discriminative learning using automatic model construction and phantom examples. Pattern Recognit. 42 (12) (2009)
Qiang Sun, Li-Lun Wang, Shiau Hong Lim, Gerald DeJong
Robustness through prior knowledge: using explanation-based learning to distinguish handwritten Chinese characters. Int. J. Document Anal. Recognit. 10 (3-4) (2007)
Shiau Hong Lim, Li-Lun Wang, Gerald DeJong
Explanation-Based Feature Construction. IJCAI (2007)
Shiau Hong Lim, Gerald DeJong
Towards Finite-Sample Convergence of Direct Reinforcement Learning. ECML (2005)