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Sample-Efficient, Exploration-Based Policy Optimisation for Routing Problems



Nasrin Sultana , Jeffrey Chan , Tabinda Sarwar , A. K. Qin


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Ethical and Fairness Implications of Model Multiplicity



Kacper Sokol , Meelis Kull , Jeffrey Chan , Flora Dilys Salim


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Measuring disentangled generative spatio-temporal representation



Sichen Zhao , Wei Shao , Jeffrey Chan , Flora D. Salim


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Learning Enhanced Optimisation for Routing Problems



Nasrin Sultana , Jeffrey Chan , Tabinda Sarwar , Babak Abbasi , A. K. Qin


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MoParkeR : Multi-objective Parking Recommendation



Mohammad Saiedur Rahaman , Wei Shao , Flora D. Salim , Ayad Turky , Andy Song , Jeffrey Chan , Junliang Jiang , Doug Bradbrook

* 6 pages, 5 figures 

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Parallelizing Contextual Linear Bandits



Jeffrey Chan , Aldo Pacchiano , Nilesh Tripuraneni , Yun S. Song , Peter Bartlett , Michael I. Jordan


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Learning Vehicle Routing Problems using Policy Optimisation



Nasrin Sultana , Jeffrey Chan , A. K. Qin , Tabinda Sarwar


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Divide and Learn: A Divide and Conquer Approach for Predict+Optimize



Ali Ugur Guler , Emir Demirovic , Jeffrey Chan , James Bailey , Christopher Leckie , Peter J. Stuckey


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Representing and Denoising Wearable ECG Recordings



Jeffrey Chan , Andrew C. Miller , Emily B. Fox

* ML for Mobile Health Workshop, NeurIPS 2020 

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Learning to Optimise General TSP Instances



Nasrin Sultana , Jeffrey Chan , A. K. Qin , Tabinda Sarwar


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