Chan, Jeffrey

24 publications

AAAI 2025 BOIDS: High-Dimensional Bayesian Optimization via Incumbent-Guided Direction Lines and Subspace Embeddings Lam Ngo, Huong Ha, Jeffrey Chan, Hongyu Zhang

NeurIPS 2025 MOBO-OSD: Batch Multi-Objective Bayesian Optimization via Orthogonal Search Directions Lam Ngo, Huong Ha, Jeffrey Chan, Hongyu Zhang

ICLRW 2025 Modeling Link Recommendations as a Network Growth Mechanism and Their Impact on Social Contagion Björn Komander, Jesus Cerquides, Jeffrey Chan, Azadeh Alavi

MLJ 2025 Perfect Counterfactuals in Imperfect Worlds: Modelling Noisy Implementation of Actions in Sequential Algorithmic Recourse Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan

TMLR 2024 High-Dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy Lam Ngo, Huong Ha, Jeffrey Chan, Vu Nguyen, Hongyu Zhang

ECML-PKDD 2024 Long-Term Fairness in Ride-Hailing Platform Yufan Kang, Jeffrey Chan, Wei Shao, Flora D. Salim, Christopher Leckie

NeurIPSW 2023 Generative Design for Gene Therapy: An $\textit{in Vivo}$ Validated Method Farhan Damani, David Brookes, Jeffrey Chan, Rishi Jajoo, Alexander Mijalis, Joyce Samson, Flaviu Vadan, Cameron Webster, Stephen Malina, Sam Sinai

CVPRW 2023 SCONE-GAN: Semantic Contrastive Learning-Based Generative Adversarial Network for an End-to-End Image Translation Iman Abbasnejad, Fabio Zambetta, Flora D. Salim, Timothy Wiley, Jeffrey Chan, Russell Gallagher, Ehsan Abbasnejad

AAAI 2022 A Divide and Conquer Algorithm for Predict+Optimize with Non-Convex Problems Ali Ugur Guler, Emir Demirovic, Jeffrey Chan, James Bailey, Christopher Leckie, Peter J. Stuckey

JMLR 2022 MurTree: Optimal Decision Trees via Dynamic Programming and Search Emir Demirović, Anna Lukina, Emmanuel Hebrard, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Peter J. Stuckey

AAAI 2020 Dynamic Programming for Predict+Optimise Emir Demirovic, Peter J. Stuckey, Tias Guns, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jeffrey Chan

ECML-PKDD 2020 Less Is More: Rejecting Unreliable Reviews for Product Question Answering Shiwei Zhang, Xiuzhen Zhang, Jey Han Lau, Jeffrey Chan, Cécile Paris

AAAI 2020 Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection Yuan Sun, Wei Wang, Michael Kirley, Xiaodong Li, Jeffrey Chan

ECML-PKDD 2019 J3R: Joint Multi-Task Learning of Ratings and Review Summaries for Explainable Recommendation P. V. S. Avinesh, Yongli Ren, Christian M. Meyer, Jeffrey Chan, Zhifeng Bao, Mark Sanderson

IJCAI 2019 Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Christopher Leckie, Kotagiri Ramamohanarao, Tias Guns

NeurIPS 2018 A Likelihood-Free Inference Framework for Population Genetic Data Using Exchangeable Neural Networks Jeffrey Chan, Valerio Perrone, Jeffrey Spence, Paul Jenkins, Sara Mathieson, Yun Song

ECML-PKDD 2018 Semi-Supervised Blockmodelling with Pairwise Guidance Mohadeseh Ganji, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Laurence A. F. Park

AAAI 2016 MOOCs Meet Measurement Theory: A Topic-Modelling Approach Jiazhen He, Benjamin I. P. Rubinstein, James Bailey, Rui Zhang, Sandra Milligan, Jeffrey Chan

ECML-PKDD 2016 Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs Lida Rashidi, Andrey Kan, James Bailey, Jeffrey Chan, Christopher Leckie, Wei Liu, Sutharshan Rajasegarar, Kotagiri Ramamohanarao

IJCAI 2015 Personalized Tour Recommendation Based on User Interests and Points of Interest Visit Durations Kwan Hui Lim, Jeffrey Chan, Christopher Leckie, Shanika Karunasekera

ECML-PKDD 2014 FILTA: Better View Discovery from Collections of Clusterings via Filtering Yang Lei, Xuan Vinh Nguyen, Jeffrey Chan, James Bailey

AAAI 2014 Reconsidering Mutual Information Based Feature Selection: A Statistical Significance View Xuan Vinh Nguyen, Jeffrey Chan, James Bailey

ECML-PKDD 2013 A Bayesian Classifier for Learning from Tensorial Data Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie, Fang Chen, Kotagiri Ramamohanarao

IJCAI 2011 Increasing the Scalability of the Fitting of Generalised Block Models for Social Networks Jeffrey Chan, Samantha Lam, Conor Hayes