Shiau Hong Lim

40 papers A* 8A 3B 2Journal 13Unranked 9

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Transformer Models with Explainability for IT Telemetry and Business Events. SSE Shiau Hong Lim, Laura Wynter
2022	A*	`conf`	Distributional Reinforcement Learning for Risk-Sensitive Policies. NeurIPS Shiau Hong Lim, Ilyas Malik
2022	—	`ch.`	Federated Reinforcement Learning for Portfolio Management. Federated Learning Pengqian Yu, Laura Wynter, Shiau Hong Lim
2022	J	`jnl`	Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming. CoRR Supriyo Ghosh, Laura Wynter, Shiau Hong Lim, Duc Thien Nguyen
2022	A	`conf`	Neural-progressive hedging: Enforcing constraints in reinforcement learning with stochastic programming. UAI Supriyo Ghosh, Laura Wynter, Shiau Hong Lim, Duc Thien Nguyen
2022	A*	`conf`	Order Constraints in Optimal Transport. ICML Fabian Lim, Laura Wynter, Shiau Hong Lim
2022	—	`ch.`	Personalized, Robust Federated Learning with Fed+. Federated Learning Pengqian Yu, Achintya Kundu, Laura Wynter, Shiau Hong Lim
2022	—	`conf`	Q2R: A Query-to-Resolution System for Natural-Language Queries. NAACL-HLT (Industry Papers) Shiau Hong Lim, Laura Wynter
2022	—	`conf`	Robustness and Personalization in Federated Learning: A Unified Approach via Regularization. EDGE Achintya Kundu, Pengqian Yu, Laura Wynter, Shiau Hong Lim
2021	A*	`conf`	A Deep Ensemble Method for Multi-Agent Reinforcement Learning: A Case Study on Air Traffic Control. ICAPS Supriyo Ghosh, Sean Laguna, Shiau Hong Lim, Laura Wynter, Hasan Poonawala
2021	—	`conf`	Efficient Reinforcement Learning in Resource Allocation Problems Through Permutation Invariant Multi-task Learning. CDC Desmond Cai, Shiau Hong Lim, Laura Wynter
2021	J	`jnl`	Efficient Reinforcement Learning in Resource Allocation Problems Through Permutation Invariant Multi-task Learning. CoRR Desmond Cai, Shiau Hong Lim, Laura Wynter
2021	J	`jnl`	Order Constraints in Optimal Transport. CoRR Fabian Lim, Laura Wynter, Shiau Hong Lim
2021	J	`jnl`	Probabilistic Inference for Learning from Untrusted Sources. CoRR Duc Thien Nguyen, Shiau Hong Lim, Laura Wynter, Desmond Cai
2020	J	`jnl`	A Deep Ensemble Multi-Agent Reinforcement Learning Approach for Air Traffic Control. CoRR Supriyo Ghosh, Sean Laguna, Shiau Hong Lim, Laura Wynter, Hasan Poonawala
2020	J	`jnl`	Fed+: A Family of Fusion Algorithms for Federated Learning. CoRR Pengqian Yu, Laura Wynter, Shiau Hong Lim
2020	—	`conf`	Variational Bayesian Inference for Crowdsourcing Predictions. CDC Desmond Cai, Duc Thien Nguyen, Shiau Hong Lim, Laura Wynter
2020	J	`jnl`	Variational Bayesian Inference for Crowdsourcing Predictions. CoRR Desmond Cai, Duc Thien Nguyen, Shiau Hong Lim, Laura Wynter
2019	—	`conf`	Combining Micro and Macro Features for Online Pattern-of-Life Movement Prediction. ICDM Workshops Shiau Hong Lim, Hasan Poonawala, Laura Wynter
2019	A*	`conf`	Kernel-Based Reinforcement Learning in Robust Markov Decision Processes. ICML Shiau Hong Lim, Arnaud Autef
2019	J	`jnl`	MPA-IBM Project SAFER: Sense-Making Analytics for Maritime Event Recognition. INFORMS J. Appl. Anal. Gavin Yeo, Shiau Hong Lim, Laura Wynter, Hifaz Hassan
2018	A	`conf`	Labeled Graph Clustering via Projected Gradient Descent. AISTATS Shiau Hong Lim, Gregory Calvez
2017	J	`jnl`	Clustering from General Pairwise Observations with Applications to Time-varying Graphs. J. Mach. Learn. Res. Shiau Hong Lim, Yudong Chen, Huan Xu
2017	—	`ch.`	Explanation-Based Learning. Encyclopedia of Machine Learning and Data Mining Gerald DeJong, Shiau Hong Lim
2016	J	`jnl`	Reinforcement Learning in Robust Markov Decision Processes. Math. Oper. Res. Shiau Hong Lim, Huan Xu, Shie Mannor
2015	A*	`conf`	A Convex Optimization Framework for Bi-Clustering. ICML Shiau Hong Lim, Yudong Chen, Huan Xu
2014	—	`conf`	Clustering from Labels and Time-Varying Graphs. NIPS Shiau Hong Lim, Yudong Chen, Huan Xu
2014	A*	`conf`	Weighted Graph Clustering with Non-Uniform Uncertainties. ICML Yudong Chen, Shiau Hong Lim, Huan Xu
2013	—	`conf`	Reinforcement Learning in Robust Markov Decision Processes. NIPS Shiau Hong Lim, Huan Xu, Shie Mannor
2012	A*	`conf`	Autonomous Exploration For Navigating In MDPs. COLT Shiau Hong Lim, Peter Auer
2012	J	`jnl`	Noisy Search with Comparative Feedback CoRR Shiau Hong Lim, Peter Auer
2011	B	`conf`	Models for Autonomously Motivated Exploration in Reinforcement Learning - (Extended Abstract). ALT Peter Auer, Shiau Hong Lim, Chris Watkins
2011	B	`conf`	Models for Autonomously Motivated Exploration in Reinforcement Learning. Discovery Science Peter Auer, Shiau Hong Lim, Chris Watkins
2011	A	`conf`	Noisy Search with Comparative Feedback. UAI Shiau Hong Lim, Peter Auer
2010	—	`ch.`	Explanation-Based Learning. Encyclopedia of Machine Learning Gerald DeJong, Shiau Hong Lim
2009	—	`—`	Explanation-Based Feature Construction Shiau Hong Lim
2009	J	`jnl`	Integrating prior domain knowledge into discriminative learning using automatic model construction and phantom examples. Pattern Recognit. Shiau Hong Lim, Li-Lun Wang, Gerald DeJong
2007	A*	`conf`	Explanation-Based Feature Construction. IJCAI Shiau Hong Lim, Li-Lun Wang, Gerald DeJong
2007	J	`jnl`	Robustness through prior knowledge: using explanation-based learning to distinguish handwritten Chinese characters. Int. J. Document Anal. Recognit. Qiang Sun, Li-Lun Wang, Shiau Hong Lim, Gerald DeJong
2005	—	`conf`	Towards Finite-Sample Convergence of Direct Reinforcement Learning. ECML Shiau Hong Lim, Gerald DeJong