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2020 – today
- 2024
[c8]Zahra Atashgahi, Tennison Liu, Mykola Pechenizkiy, Raymond N. J. Veldhuis, Decebal Constantin Mocanu, Mihaela van der Schaar:
Unveiling the Power of Sparse Neural Networks for Feature Selection. ECAI 2024: 2669-2676- [c7]Krzysztof Kacprzyk, Tennison Liu, Mihaela van der Schaar:
Towards Transparent Time Series Forecasting. ICLR 2024 - [c6]Tennison Liu, Nicolás Astorga, Nabeel Seedat, Mihaela van der Schaar:
Large Language Models to Enhance Bayesian Optimization. ICLR 2024 - [i8]Tennison Liu, Nicolás Astorga, Nabeel Seedat, Mihaela van der Schaar:
Large Language Models to Enhance Bayesian Optimization. CoRR abs/2402.03921 (2024) - [i7]Zahra Atashgahi, Tennison Liu, Mykola Pechenizkiy, Raymond N. J. Veldhuis, Decebal Constantin Mocanu, Mihaela van der Schaar:
Unveiling the Power of Sparse Neural Networks for Feature Selection. CoRR abs/2408.04583 (2024) - 2023
- [c5]Alan Jeffares, Tennison Liu, Jonathan Crabbé, Fergus Imrie, Mihaela van der Schaar:
TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization. ICLR 2023 - [c4]Tennison Liu, Zhaozhi Qian, Jeroen Berrevoets
, Mihaela van der Schaar:
GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure. ICLR 2023 - [c3]Tennison Liu, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar:
Learning Representations without Compositional Assumptions. ICML 2023: 21388-21403 - [c2]Alan Jeffares, Tennison Liu, Jonathan Crabbé, Mihaela van der Schaar:
Joint Training of Deep Ensembles Fails Due to Learner Collusion. NeurIPS 2023 - [i6]Alan Jeffares, Tennison Liu, Jonathan Crabbé, Mihaela van der Schaar:
Joint Training of Deep Ensembles Fails Due to Learner Collusion. CoRR abs/2301.11323 (2023) - [i5]Alan Jeffares, Tennison Liu, Jonathan Crabbé, Fergus Imrie, Mihaela van der Schaar:
TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization. CoRR abs/2303.05506 (2023) - [i4]Tennison Liu, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar:
Learning Representations without Compositional Assumptions. CoRR abs/2305.19726 (2023) - 2022
- [c1]Daniel Jarrett, Bogdan Cebere, Tennison Liu, Alicia Curth, Mihaela van der Schaar:
HyperImpute: Generalized Iterative Imputation with Automatic Model Selection. ICML 2022: 9916-9937 - [i3]Daniel Jarrett, Bogdan Cebere, Tennison Liu, Alicia Curth, Mihaela van der Schaar:
HyperImpute: Generalized Iterative Imputation with Automatic Model Selection. CoRR abs/2206.07769 (2022) - [i2]Tennison Liu, Alex J. Chan, Boris van Breugel, Mihaela van der Schaar:
Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes. CoRR abs/2211.06138 (2022) - 2020
- [j1]Tennison Liu, Nhan Duy Truong, Armin Nikpour, Luping Zhou, Omid Kavehei:
Epileptic Seizure Classification With Symmetric and Hybrid Bilinear Models. IEEE J. Biomed. Health Informatics 24(10): 2844-2851 (2020) - [i1]Tennison Liu, Nhan Duy Truong, Armin Nikpour, Luping Zhou, Omid Kavehei:
Epileptic Seizure Classification with Symmetric and Hybrid Bilinear Models. CoRR abs/2001.06282 (2020)
Coauthor Index
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