Shiau Hong Lim

Proceedings of the International Conference on Machine Learning, 2022

Robustness and Personalization in Federated Learning: A Unified Approach via Regularization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Edge Computing and Communications, 2022

Federated Reinforcement Learning for Portfolio Management.

[BibT_eX]

[DOI]

Pengqian Yu

Proceedings of the Federated Learning, 2022

Personalized, Robust Federated Learning with Fed+.

[BibT_eX]

[DOI]

Proceedings of the Federated Learning, 2022

2021

Order Constraints in Optimal Transport.

[BibT_eX]

[DOI]

Fabian Lim

CoRR, 2021

Probabilistic Inference for Learning from Untrusted Sources.

[BibT_eX]

[DOI]

CoRR, 2021

Efficient Reinforcement Learning in Resource Allocation Problems Through Permutation Invariant Multi-task Learning.

[BibT_eX]

[DOI]

Desmond Cai

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

A Deep Ensemble Method for Multi-Agent Reinforcement Learning: A Case Study on Air Traffic Control.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021

2020

Fed+: A Family of Fusion Algorithms for Federated Learning.

[BibT_eX]

[DOI]

Pengqian Yu

CoRR, 2020

A Deep Ensemble Multi-Agent Reinforcement Learning Approach for Air Traffic Control.

[BibT_eX]

[DOI]

CoRR, 2020

Variational Bayesian Inference for Crowdsourcing Predictions.

[BibT_eX]

[DOI]

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

MPA-IBM Project SAFER: Sense-Making Analytics for Maritime Event Recognition.

[BibT_eX]

[DOI]

INFORMS J. Appl. Anal., 2019

Kernel-Based Reinforcement Learning in Robust Markov Decision Processes.

[BibT_eX]

[DOI]

Arnaud Autef

Proceedings of the 36th International Conference on Machine Learning, 2019

Combining Micro and Macro Features for Online Pattern-of-Life Movement Prediction.

[BibT_eX]

[DOI]

Hasan Poonawala

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

2018

Labeled Graph Clustering via Projected Gradient Descent.

[BibT_eX]

[DOI]

Gregory Calvez

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Explanation-Based Learning.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Clustering from General Pairwise Observations with Applications to Time-varying Graphs.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2017

2016

Reinforcement Learning in Robust Markov Decision Processes.

[BibT_eX]

[DOI]

Shie Mannor

Math. Oper. Res., 2016

2015

A Convex Optimization Framework for Bi-Clustering.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Clustering from Labels and Time-Varying Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Weighted Graph Clustering with Non-Uniform Uncertainties.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

2012

Autonomous Exploration For Navigating In MDPs.

[BibT_eX]

[DOI]

Proceedings of the COLT 2012, 2012

2011

Noisy Search with Comparative Feedback.

[BibT_eX]

[DOI]

Proceedings of the UAI 2011, 2011

Models for Autonomously Motivated Exploration in Reinforcement Learning.

[BibT_eX]

[DOI]

Chris Watkins

Proceedings of the Discovery Science - 14th International Conference, 2011

Models for Autonomously Motivated Exploration in Reinforcement Learning - (Extended Abstract).

[BibT_eX]

[DOI]

Chris Watkins

Proceedings of the Algorithmic Learning Theory - 22nd International Conference, 2011

2010

Explanation-Based Learning.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning, 2010

2009

Explanation-Based Feature Construction

[BibT_eX]

[DOI]

PhD thesis, 2009

Integrating prior domain knowledge into discriminative learning using automatic model construction and phantom examples.

[BibT_eX]

[DOI]

Li-Lun Wang

Pattern Recognit., 2009

2007

Robustness through prior knowledge: using explanation-based learning to distinguish handwritten Chinese characters.

[BibT_eX]

[DOI]

Int. J. Document Anal. Recognit., 2007

Explanation-Based Feature Construction.

[BibT_eX]

[DOI]

Li-Lun Wang

Proceedings of the IJCAI 2007, 2007

2005

Towards Finite-Sample Convergence of Direct Reinforcement Learning.

[BibT_eX]

[DOI]