Trent Kyono - RankMe

19 papers A* 3A 1B 1Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge. ACM Trans. Comput. Heal. Trent Kyono, Ioana Bica, Zhaozhi Qian, Mihaela van der Schaar
2023	A	`conf`	To Impute or not to Impute? Missing Data in Treatment Effect Estimation. AISTATS Jeroen Berrevoets, Fergus Imrie, Trent Kyono, James Jordon, Mihaela van der Schaar
2022	J	`jnl`	To Impute or not to Impute? - Missing Data in Treatment Effect Estimation. CoRR Jeroen Berrevoets, Fergus Imrie, Trent Kyono, James Jordon, Mihaela van der Schaar
2021	A*	`conf`	DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks. NeurIPS Boris van Breugel, Trent Kyono, Jeroen Berrevoets, Mihaela van der Schaar
2021	J	`jnl`	DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks. CoRR Boris van Breugel, Trent Kyono, Jeroen Berrevoets, Mihaela van der Schaar
2021	J	`jnl`	Exploiting Causal Structure for Robust Model Selection in Unsupervised Domain Adaptation. IEEE Trans. Artif. Intell. Trent Kyono, Mihaela van der Schaar
2021	B	`conf`	Formal Analysis of Neural Network-Based Systems in the Aircraft Domain. FM Panagiotis Kouvaros, Trent Kyono, Francesco Leofante, Alessio Lomuscio, Dragos D. Margineantu, Denis Osipychev, Yang Zheng
2021	A*	`conf`	MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms. NeurIPS Trent Kyono, Yao Zhang, Alexis Bellot, Mihaela van der Schaar
2021	J	`jnl`	MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms. CoRR Trent Kyono, Yao Zhang, Alexis Bellot, Mihaela van der Schaar
2021	J	`jnl`	Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge. CoRR Trent Kyono, Ioana Bica, Zhaozhi Qian, Mihaela van der Schaar
2021	—	`—`	Towards Causally-Aware Machine Learning. Trent Kyono
2021	J	`jnl`	Triage of 2D Mammographic Images Using Multi-view Multi-task Convolutional Neural Networks. ACM Trans. Comput. Heal. Trent Kyono, Fiona J. Gilbert, Mihaela van der Schaar
2020	A*	`conf`	CASTLE: Regularization via Auxiliary Causal Graph Discovery. NeurIPS Trent Kyono, Yao Zhang, Mihaela van der Schaar
2020	J	`jnl`	CASTLE: Regularization via Auxiliary Causal Graph Discovery. CoRR Trent Kyono, Yao Zhang, Mihaela van der Schaar
2019	J	`jnl`	Improving Model Robustness Using Causal Knowledge. CoRR Trent Kyono, Mihaela van der Schaar
2019	—	`conf`	Multi-view Multi-task Learning for Improving Autonomous Mammogram Diagnosis. MLHC Trent Kyono, Fiona J. Gilbert, Mihaela van der Schaar
2018	J	`jnl`	MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine Collaboration in Breast Cancer Diagnosis. CoRR Trent Kyono, Fiona J. Gilbert, Mihaela van der Schaar
2018	—	`conf`	Siamese Survival Analysis with Competing Risks. ICANN (3) Anton Nemchenko, Trent Kyono, Mihaela van der Schaar
2018	J	`jnl`	Siamese Survival Analysis with Competing Risks. CoRR Anton Nemchenko, Trent Kyono, Mihaela van der Schaar