| RKHS-SHAP: Shapley Values for Kernel Methods SL Chau, R Hu, J Gonzalez, D Sejdinovic 2022 Conference on Neural Information Processing Systems, 2022 | 28 | 2022 |
| Deconditional Downscaling with Gaussian Processes SL Chau, S Bouabid, D Sejdinovic Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), 2021 | 27 | 2021 |
| BayesIMP: Uncertainty Quantification for Causal Data Fusion SL Chau, JF Ton, J González, YW Teh, D Sejdinovic Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), 2021 | 22 | 2021 |
| Kernel-based graph learning from smooth signals: A functional viewpoint X Pu, SL Chau, X Dong, D Sejdinovic IEEE Transactions on Signal and Information Processing over Networks 7, 192-207, 2021 | 22 | 2021 |
| Looping in the Human: Collaborative and Explainable Bayesian Optimization M Adachi, B Planden, DA Howey, K Maundet, MA Osborne, SL Chau 27th International Conference on Artificial Intelligence and Statistics, 2024 | 16 | 2024 |
| Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models SL Chau, K Muandet, D Sejdinovic (spotlight) Advances in Neural Information Processing Systems 36, 2024 | 15 | 2024 |
| Spectral ranking with covariates SL Chau, M Cucuringu, D Sejdinovic European Conference on Machine Learning and Principles and Practice of …, 2022 | 12 | 2022 |
| Explaining Preferences with Shapley Values H Robert, SL Chau, JF Huertas, D Sejdinovic 2022 Conference on Neural Information Processing Systems, 2022 | 9* | 2022 |
| Learning Inconsistent Preferences with Gaussian Processes SL Chau, J González, D Sejdinovic AISTATS 2022, 2022 | 9* | 2022 |
| Credal two-sample tests of epistemic ignorance SL Chau, A Schrab, A Gretton, D Sejdinovic, K Muandet arXiv preprint arXiv:2410.12921, 2024 | 6 | 2024 |
| Gated Domain Units for Multi-source Domain Generalization S Föll, A Dubatovka, E Ernst, SL Chau, M Maritsch, P Okanovic, G Thäter, ... Transactions on Machine Learning Research, 2022 | 5 | 2022 |
| Domain Generalisation via Imprecise Learning A Singh, SL Chau, S Bouabid, K Muandet (spotlight) International Conference on Machine Learning 2024, 2024 | 3 | 2024 |
| Causal Strategic Learning with Competitive Selection KQH Vo, M Aadil, SL Chau, K Muandet (oral) The 38th Annual AAAI Conference on Artificial Intelligence, 2024 | 2 | 2024 |
| Giga-scale Kernel Matrix Vector Multiplication on GPU R Hu, SL Chau, D Sejdinovic, JA Glaunčs 2022 Conference on Neural Information Processing Systems, 2022 | 2 | 2022 |
| Highly Parallel Optimisation of Nickel-Catalysed Suzuki Reactions through Automation and Machine Intelligence JW Sin, SL Chau, RP Burwood, K Püntener, R Bigler, P Schwaller | 1 | 2024 |
| Bayesian Optimization for Building Social-Influence-Free Consensus M Adachi, SL Chau, W Xu, A Singh, MA Osborne, K Muandet arXiv preprint arXiv:2502.07166, 2025 | | 2025 |
| Strategic Learning with Local Explanations as Feedback KQH Vo, SL Chau, M Kato, Y Wang, K Muandet arXiv preprint arXiv:2502.04058, 2025 | | 2025 |
| Towards Trustworthy Machine Learning with Kernels SL Chau University of Oxford, 2023 | | 2023 |
Dino SejdinovicProfessor of Statistical Machine Learning, University of AdelaideVerified email at adelaide.edu.au
