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Daniel Jarrett. Note: As of April 2023, I have joined Google DeepMind full time as Research Scientist. I am a final-year Ph.D. candidate in Mathematics at the University of Cambridge , advised by Mihaela van der Schaar in the Machine Learning and Artificial Intelligence group.
- IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 24, NO. 2 ...
Dynamic Prediction in Clinical Survival Analysis using...
- IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 24, NO. 2 ...
Articles 1–20. Research Scientist at DeepMind - Cited by 1,709 - Generative Modeling - Reinforcement Learning - Causal Inference.
Dynamic Prediction in Clinical Survival Analysis using Temporal Convolutional Networks. Daniel Jarrett, Jinsung Yoon, Member, IEEE, and Mihaela van der Schaar, Fellow, IEEE. Abstract—Accurate prediction of disease trajectories is critical for early identification and timely treatment of patients at risk.
INTRODUCTION. principal challenge in modeling human behavior is in obtaining a transparent understanding of decision-making. In medical diagnosis, for instance, there is often significant regional and institutional variation in clinical practice [1], much of it the leading cause of rising healthcare costs [2].
Ph.D. candidate in Mathematics at the University of Cambridge, advised by Mihaela van der Schaar in the Machine Learning and Artificial Intelligence group. Research interests include generative ...
Daniel Jarrett, Jinsung Yoon, Mihaela van der Schaar: MATCH-Net: Dynamic Prediction in Survival Analysis using Convolutional Neural Networks. CoRR abs/1811.10746 ( 2018 )
A principal challenge in improving behavior is in obtaining a transparent *description* of existing behavior in the first place. In this paper, we develop an expressive, unifying perspective on *inverse decision modeling*: a framework for learning parameterized representations of sequential decision behavior.
