Trent Kyono

According to our database, Trent Kyono authored at least 13 papers between 2018 and 2023.

Collaborative distances:

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

2023

Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge.

Trent Kyono, Ioana Bica, Zhaozhi Qian, Mihaela van der Schaar

ACM Trans. Comput. Heal., April, 2023

To Impute or not to Impute? Missing Data in Treatment Effect Estimation.

Jeroen Berrevoets, Fergus Imrie, Trent Kyono, James Jordon, Mihaela van der Schaar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2021

Towards Causally-Aware Machine Learning.

Trent Kyono

PhD thesis, 2021

Exploiting Causal Structure for Robust Model Selection in Unsupervised Domain Adaptation.

Trent Kyono, Mihaela van der Schaar

IEEE Trans. Artif. Intell., 2021

Triage of 2D Mammographic Images Using Multi-view Multi-task Convolutional Neural Networks.

Trent Kyono, Fiona J. Gilbert, Mihaela van der Schaar

ACM Trans. Comput. Heal., 2021

MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms.

Trent Kyono, Yao Zhang, Alexis Bellot, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks.

Boris van Breugel, Trent Kyono, Jeroen Berrevoets, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Formal Analysis of Neural Network-Based Systems in the Aircraft Domain.

Panagiotis Kouvaros, Trent Kyono, Francesco Leofante, Alessio Lomuscio, Dragos D. Margineantu, Denis Osipychev, Yang Zheng

Proceedings of the Formal Methods - 24th International Symposium, 2021

2020

CASTLE: Regularization via Auxiliary Causal Graph Discovery.

Trent Kyono, Yao Zhang, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Improving Model Robustness Using Causal Knowledge.

Trent Kyono, Mihaela van der Schaar

CoRR, 2019

Multi-view Multi-task Learning for Improving Autonomous Mammogram Diagnosis.

Trent Kyono, Fiona J. Gilbert, Mihaela van der Schaar

Proceedings of the Machine Learning for Healthcare Conference, 2019

2018

MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine Collaboration in Breast Cancer Diagnosis.

Trent Kyono, Fiona J. Gilbert, Mihaela van der Schaar

CoRR, 2018

Siamese Survival Analysis with Competing Risks.

Anton Nemchenko, Trent Kyono, Mihaela van der Schaar

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018