Tennison Liu

According to our database, Tennison Liu authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Large Language Models to Enhance Bayesian Optimization.

Tennison Liu, Nicolás Astorga, Nabeel Seedat, Mihaela van der Schaar

CoRR, 2024

2023

Joint Training of Deep Ensembles Fails Due to Learner Collusion.

Alan Jeffares, Tennison Liu, Jonathan Crabbé, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Representations without Compositional Assumptions.

Tennison Liu, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar

Proceedings of the International Conference on Machine Learning, 2023

GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure.

Tennison Liu, Zhaozhi Qian, Jeroen Berrevoets, Mihaela van der Schaar

Proceedings of the Eleventh International Conference on Learning Representations, 2023

TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization.

Alan Jeffares, Tennison Liu, Jonathan Crabbé, Fergus Imrie, Mihaela van der Schaar

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes.

Tennison Liu, Alex J. Chan, Boris van Breugel, Mihaela van der Schaar

CoRR, 2022

HyperImpute: Generalized Iterative Imputation with Automatic Model Selection.

Daniel Jarrett, Bogdan Cebere, Tennison Liu, Alicia Curth, Mihaela van der Schaar

Proceedings of the International Conference on Machine Learning, 2022

2020

Epileptic Seizure Classification With Symmetric and Hybrid Bilinear Models.

Tennison Liu, Nhan Duy Truong, Armin Nikpour, Luping Zhou, Omid Kavehei

IEEE J. Biomed. Health Informatics, 2020