Towards Finite-Sample Convergence of Direct Reinforcement Learning. - Shiau Hong Lim; Gerald DeJong (ECML, 2005)

Explanation-Based Feature Construction. - Shiau Hong Lim; Li-Lun Wang; Gerald DeJong (IJCAI, 2007)

Robustness through prior knowledge: using explanation-based learning to distinguish handwritten Chinese characters. - Qiang Sun; Li-Lun Wang; Shiau Hong Lim; Gerald DeJong (Int. J. Document Anal. Recognit., 2007)

Integrating prior domain knowledge into discriminative learning using automatic model construction and phantom examples. - Shiau Hong Lim; Li-Lun Wang; Gerald DeJong (Pattern Recognit., 2009)

Explanation-Based Feature Construction - Shiau Hong Lim (2009)

Explanation-Based Learning. - Gerald DeJong; Shiau Hong Lim (Encyclopedia of Machine Learning, 2010)

Models for Autonomously Motivated Exploration in Reinforcement Learning - (Extended Abstract). - Peter Auer; Shiau Hong Lim; Chris Watkins (ALT, 2011)

Models for Autonomously Motivated Exploration in Reinforcement Learning. - Peter Auer; Shiau Hong Lim; Chris Watkins (Discovery Science, 2011)

Noisy Search with Comparative Feedback. - Shiau Hong Lim; Peter Auer (UAI, 2011)

Autonomous Exploration For Navigating In MDPs. - Shiau Hong Lim; Peter Auer (COLT, 2012)

Weighted Graph Clustering with Non-Uniform Uncertainties. - Yudong Chen 001; Shiau Hong Lim; Huan Xu 001 (ICML, 2014)

Clustering from Labels and Time-Varying Graphs. - Shiau Hong Lim; Yudong Chen 001; Huan Xu 001 (NIPS, 2014)

A Convex Optimization Framework for Bi-Clustering. - Shiau Hong Lim; Yudong Chen 001; Huan Xu 001 (ICML, 2015)

Reinforcement Learning in Robust Markov Decision Processes. - Shiau Hong Lim; Huan Xu 001; Shie Mannor (Math. Oper. Res., 2016)

Clustering from General Pairwise Observations with Applications to Time-varying Graphs. - Shiau Hong Lim; Yudong Chen 001; Huan Xu 001 (J. Mach. Learn. Res., 2017)

Explanation-Based Learning. - Gerald DeJong; Shiau Hong Lim (Encyclopedia of Machine Learning and Data Mining, 2017)

Labeled Graph Clustering via Projected Gradient Descent. - Shiau Hong Lim; Gregory Calvez (AISTATS, 2018)

Combining Micro and Macro Features for Online Pattern-of-Life Movement Prediction. - Shiau Hong Lim; Hasan Poonawala; Laura Wynter (ICDM Workshops, 2019)

Kernel-Based Reinforcement Learning in Robust Markov Decision Processes. - Shiau Hong Lim; Arnaud Autef (ICML, 2019)

MPA-IBM Project SAFER: Sense-Making Analytics for Maritime Event Recognition. - Gavin Yeo; Shiau Hong Lim; Laura Wynter; Hifaz Hassan (INFORMS J. Appl. Anal., 2019)

Variational Bayesian Inference for Crowdsourcing Predictions. - Desmond Cai; Duc Thien Nguyen; Shiau Hong Lim; Laura Wynter (CDC, 2020)

A Deep Ensemble Multi-Agent Reinforcement Learning Approach for Air Traffic Control. - Supriyo Ghosh; Sean Laguna; Shiau Hong Lim; Laura Wynter; Hasan Poonawala (CoRR, 2020)

Fed+: A Family of Fusion Algorithms for Federated Learning. - Pengqian Yu; Laura Wynter; Shiau Hong Lim (CoRR, 2020)

A Deep Ensemble Method for Multi-Agent Reinforcement Learning: A Case Study on Air Traffic Control. - Supriyo Ghosh; Sean Laguna; Shiau Hong Lim; Laura Wynter; Hasan Poonawala (ICAPS, 2021)

Efficient Reinforcement Learning in Resource Allocation Problems Through Permutation Invariant Multi-task Learning. - Desmond Cai; Shiau Hong Lim; Laura Wynter (CDC, 2021)

Probabilistic Inference for Learning from Untrusted Sources. - Duc Thien Nguyen; Shiau Hong Lim; Laura Wynter; Desmond Cai (CoRR, 2021)

Personalized, Robust Federated Learning with Fed+. - Pengqian Yu; Achintya Kundu; Laura Wynter; Shiau Hong Lim (Federated Learning, 2022)

Federated Reinforcement Learning for Portfolio Management. - Pengqian Yu; Laura Wynter; Shiau Hong Lim (Federated Learning, 2022)

Robustness and Personalization in Federated Learning: A Unified Approach via Regularization. - Achintya Kundu; Pengqian Yu; Laura Wynter; Shiau Hong Lim (EDGE, 2022)

Order Constraints in Optimal Transport. - Fabian Lim; Laura Wynter; Shiau Hong Lim (ICML, 2022)

Q2R: A Query-to-Resolution System for Natural-Language Queries. - Shiau Hong Lim; Laura Wynter (NAACL-HLT (Industry Papers), 2022)

Distributional Reinforcement Learning for Risk-Sensitive Policies. - Shiau Hong Lim; Ilyas Malik (NeurIPS, 2022)

Neural-progressive hedging: Enforcing constraints in reinforcement learning with stochastic programming. - Supriyo Ghosh; Laura Wynter; Shiau Hong Lim; Duc Thien Nguyen (UAI, 2022)

Transformer Models with Explainability for IT Telemetry and Business Events. - Shiau Hong Lim; Laura Wynter (SSE, 2024)