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Shiau Hong Lim
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2020 – today
- 2024
- [c22]Shiau Hong Lim, Laura Wynter:
Transformer Models with Explainability for IT Telemetry and Business Events. SSE 2024: 130-140 - 2022
- [c21]Achintya Kundu, Pengqian Yu, Laura Wynter, Shiau Hong Lim:
Robustness and Personalization in Federated Learning: A Unified Approach via Regularization. EDGE 2022: 1-11 - [c20]Yu Chin, Fabian Lim, Laura Wynter, Shiau Hong Lim:
Order Constraints in Optimal Transport. ICML 2022: 13313-13333 - [c19]Shiau Hong Lim, Laura Wynter:
Q2R: A Query-to-Resolution System for Natural-Language Queries. NAACL-HLT (Industry Papers) 2022: 353-361 - [c18]Shiau Hong Lim, Ilyas Malik:
Distributional Reinforcement Learning for Risk-Sensitive Policies. NeurIPS 2022 - [c17]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 - [p2]Pengqian Yu, Achintya Kundu, Laura Wynter, Shiau Hong Lim:
Personalized, Robust Federated Learning with Fed+. Federated Learning 2022: 99-123 - [p1]Pengqian Yu, Laura Wynter, Shiau Hong Lim:
Federated Reinforcement Learning for Portfolio Management. Federated Learning 2022: 467-482 - [i8]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
- [c16]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: 468-476 - [c15]Desmond Cai, Shiau Hong Lim, Laura Wynter:
Efficient Reinforcement Learning in Resource Allocation Problems Through Permutation Invariant Multi-task Learning. CDC 2021: 2270-2275 - [i7]Duc Thien Nguyen, Shiau Hong Lim, Laura Wynter, Desmond Cai:
Probabilistic Inference for Learning from Untrusted Sources. CoRR abs/2101.06171 (2021) - [i6]Desmond Cai, Shiau Hong Lim, Laura Wynter:
Efficient Reinforcement Learning in Resource Allocation Problems Through Permutation Invariant Multi-task Learning. CoRR abs/2102.09361 (2021) - [i5]Fabian Lim, Laura Wynter, Shiau Hong Lim:
Order Constraints in Optimal Transport. CoRR abs/2110.07275 (2021) - 2020
- [c14]Desmond Cai, Duc Thien Nguyen, Shiau Hong Lim, Laura Wynter:
Variational Bayesian Inference for Crowdsourcing Predictions. CDC 2020: 3166-3172 - [i4]Supriyo Ghosh, Sean Laguna, Shiau Hong Lim, Laura Wynter, Hasan Poonawala:
A Deep Ensemble Multi-Agent Reinforcement Learning Approach for Air Traffic Control. CoRR abs/2004.01387 (2020) - [i3]Desmond Cai, Duc Thien Nguyen, Shiau Hong Lim, Laura Wynter:
Variational Bayesian Inference for Crowdsourcing Predictions. CoRR abs/2006.00778 (2020) - [i2]Pengqian Yu, Laura Wynter, Shiau Hong Lim:
Fed+: A Family of Fusion Algorithms for Federated Learning. CoRR abs/2009.06303 (2020)
2010 – 2019
- 2019
- [j5]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): 269-280 (2019) - [c13]Shiau Hong Lim, Hasan Poonawala, Laura Wynter:
Combining Micro and Macro Features for Online Pattern-of-Life Movement Prediction. ICDM Workshops 2019: 587-594 - [c12]Shiau Hong Lim, Arnaud Autef:
Kernel-Based Reinforcement Learning in Robust Markov Decision Processes. ICML 2019: 3973-3981 - 2018
- [c11]Shiau Hong Lim, Gregory Calvez:
Labeled Graph Clustering via Projected Gradient Descent. AISTATS 2018: 1988-1997 - 2017
- [j4]Shiau Hong Lim, Yudong Chen, Huan Xu:
Clustering from General Pairwise Observations with Applications to Time-varying Graphs. J. Mach. Learn. Res. 18: 49:1-49:47 (2017) - [r2]Gerald DeJong, Shiau Hong Lim:
Explanation-Based Learning. Encyclopedia of Machine Learning and Data Mining 2017: 487-492 - 2016
- [j3]Shiau Hong Lim, Huan Xu, Shie Mannor
Reinforcement Learning in Robust Markov Decision Processes. Math. Oper. Res. 41(4): 1325-1353 (2016) - 2015
- [c10]Shiau Hong Lim, Yudong Chen, Huan Xu:
A Convex Optimization Framework for Bi-Clustering. ICML 2015: 1679-1688 - 2014
- [c9]Yudong Chen, Shiau Hong Lim, Huan Xu:
Weighted Graph Clustering with Non-Uniform Uncertainties. ICML 2014: 1566-1574 - [c8]Shiau Hong Lim, Yudong Chen, Huan Xu:
Clustering from Labels and Time-Varying Graphs. NIPS 2014: 1188-1196 - 2013
- [c7]Shiau Hong Lim, Huan Xu, Shie Mannor:
Reinforcement Learning in Robust Markov Decision Processes. NIPS 2013: 701-709 - 2012
- [c6]Shiau Hong Lim, Peter Auer:
Autonomous Exploration For Navigating In MDPs. COLT 2012: 40.1-40.24 - [i1]Shiau Hong Lim, Peter Auer:
Noisy Search with Comparative Feedback. CoRR abs/1202.3741 (2012) - 2011
- [c5]Peter Auer, Shiau Hong Lim, Chris Watkins:
Models for Autonomously Motivated Exploration in Reinforcement Learning - (Extended Abstract). ALT 2011: 14-17 - [c4]Peter Auer, Shiau Hong Lim, Chris Watkins:
Models for Autonomously Motivated Exploration in Reinforcement Learning. Discovery Science 2011: 29 - [c3]Shiau Hong Lim, Peter Auer:
Noisy Search with Comparative Feedback. UAI 2011: 445-452 - 2010
- [r1]Gerald DeJong, Shiau Hong Lim:
Explanation-Based Learning. Encyclopedia of Machine Learning 2010: 388-392
2000 – 2009
- 2009
- [b1]Shiau Hong Lim:
Explanation-Based Feature Construction. University of Illinois Urbana-Champaign, USA, 2009 - [j2]Shiau Hong Lim, Li-Lun Wang
Integrating prior domain knowledge into discriminative learning using automatic model construction and phantom examples. Pattern Recognit. 42(12): 3231-3240 (2009) - 2007
- [j1]Qiang Sun, Li-Lun Wang
Robustness through prior knowledge: using explanation-based learning to distinguish handwritten Chinese characters. Int. J. Document Anal. Recognit. 10(3-4): 175-186 (2007) - [c2]Shiau Hong Lim, Li-Lun Wang, Gerald DeJong:
Explanation-Based Feature Construction. IJCAI 2007: 931- - 2005
- [c1]Shiau Hong Lim, Gerald DeJong:
Towards Finite-Sample Convergence of Direct Reinforcement Learning. ECML 2005: 230-241
Coauthor Index
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last updated on 2024-10-14 23:31 CEST by the dblp team
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