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Trent Kyono
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2020 – today
- 2023
- [j3]Trent Kyono
, Ioana Bica
, Zhaozhi Qian
, Mihaela van der Schaar
:
Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge. ACM Trans. Comput. Heal. 4(2): 15:1-15:29 (2023) - [c7]Jeroen Berrevoets, Fergus Imrie, Trent Kyono, James Jordon, Mihaela van der Schaar:
To Impute or not to Impute? Missing Data in Treatment Effect Estimation. AISTATS 2023: 3568-3590 - 2022
- [i8]Jeroen Berrevoets, Fergus Imrie, Trent Kyono, James Jordon, Mihaela van der Schaar:
To Impute or not to Impute? - Missing Data in Treatment Effect Estimation. CoRR abs/2202.02096 (2022) - 2021
- [b1]Trent Kyono:
Towards Causally-Aware Machine Learning. University of California, Los Angeles, USA, 2021 - [j2]Trent Kyono, Fiona J. Gilbert
, Mihaela van der Schaar:
Triage of 2D Mammographic Images Using Multi-view Multi-task Convolutional Neural Networks. ACM Trans. Comput. Heal. 2(3): 26:1-26:24 (2021) - [j1]Trent Kyono
, Mihaela van der Schaar:
Exploiting Causal Structure for Robust Model Selection in Unsupervised Domain Adaptation. IEEE Trans. Artif. Intell. 2(6): 494-507 (2021) - [c6]Panagiotis Kouvaros, Trent Kyono, Francesco Leofante, Alessio Lomuscio
, Dragos D. Margineantu, Denis Osipychev, Yang Zheng:
Formal Analysis of Neural Network-Based Systems in the Aircraft Domain. FM 2021: 730-740 - [c5]Boris van Breugel, Trent Kyono, Jeroen Berrevoets, Mihaela van der Schaar:
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks. NeurIPS 2021: 22221-22233 - [c4]Trent Kyono, Yao Zhang, Alexis Bellot, Mihaela van der Schaar:
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms. NeurIPS 2021: 23806-23817 - [i7]Trent Kyono, Ioana Bica, Zhaozhi Qian, Mihaela van der Schaar:
Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge. CoRR abs/2102.06271 (2021) - [i6]Boris van Breugel, Trent Kyono, Jeroen Berrevoets, Mihaela van der Schaar:
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks. CoRR abs/2110.12884 (2021) - [i5]Trent Kyono, Yao Zhang, Alexis Bellot, Mihaela van der Schaar:
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms. CoRR abs/2111.03187 (2021) - 2020
- [c3]Trent Kyono, Yao Zhang, Mihaela van der Schaar:
CASTLE: Regularization via Auxiliary Causal Graph Discovery. NeurIPS 2020 - [i4]Trent Kyono, Yao Zhang, Mihaela van der Schaar:
CASTLE: Regularization via Auxiliary Causal Graph Discovery. CoRR abs/2009.13180 (2020)
2010 – 2019
- 2019
- [c2]Trent Kyono, Fiona J. Gilbert, Mihaela van der Schaar:
Multi-view Multi-task Learning for Improving Autonomous Mammogram Diagnosis. MLHC 2019: 571-591 - [i3]Trent Kyono, Mihaela van der Schaar:
Improving Model Robustness Using Causal Knowledge. CoRR abs/1911.12441 (2019) - 2018
- [c1]Anton Nemchenko, Trent Kyono, Mihaela van der Schaar
:
Siamese Survival Analysis with Competing Risks. ICANN (3) 2018: 260-269 - [i2]Anton Nemchenko, Trent Kyono, Mihaela van der Schaar:
Siamese Survival Analysis with Competing Risks. CoRR abs/1807.05935 (2018) - [i1]Trent Kyono, Fiona J. Gilbert, Mihaela van der Schaar:
MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine Collaboration in Breast Cancer Diagnosis. CoRR abs/1811.02661 (2018)
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