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Jeffrey Chan

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High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy

Feb 05, 2024
Lam Ngo, Huong Ha, Jeffrey Chan, Vu Nguyen, Hongyu Zhang

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SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation

Nov 07, 2023
Iman Abbasnejad, Fabio Zambetta, Flora Salim, Timothy Wiley, Jeffrey Chan, Russell Gallagher, Ehsan Abbasnejad

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Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse

Sep 08, 2023
Edward A. Small, Jeffrey N. Clark, Christopher J. McWilliams, Kacper Sokol, Jeffrey Chan, Flora D. Salim, Raul Santos-Rodriguez

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i-Align: an interpretable knowledge graph alignment model

Aug 26, 2023
Bayu Distiawan Trisedya, Flora D Salim, Jeffrey Chan, Damiano Spina, Falk Scholer, Mark Sanderson

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Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness

Apr 19, 2023
Edward A. Small, Kacper Sokol, Daniel Manning, Flora D. Salim, Jeffrey Chan

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More Is Less: When Do Recommenders Underperform for Data-rich Users?

Apr 15, 2023
Yueqing Xuan, Kacper Sokol, Jeffrey Chan, Mark Sanderson

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How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies

Jul 12, 2022
Edward Small, Wei Shao, Zeliang Zhang, Peihan Liu, Jeffrey Chan, Kacper Sokol, Flora Salim

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

May 31, 2022
Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar, A. K. Qin

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Ethical and Fairness Implications of Model Multiplicity

Mar 14, 2022
Kacper Sokol, Meelis Kull, Jeffrey Chan, Flora Dilys Salim

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Measuring disentangled generative spatio-temporal representation

Feb 10, 2022
Sichen Zhao, Wei Shao, Jeffrey Chan, Flora D. Salim

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