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07/20/2023
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series
Self-supervised learning (SSL) for clinical time series data has receive...
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04/09/2022
Data Augmentation for Electrocardiograms
Neural network models have demonstrated impressive performance in predic...
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11/02/2021
Meta-Learning to Improve Pre-Training
Pre-training (PT) followed by fine-tuning (FT) is an effective method fo...
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03/04/2021
Learning to Predict with Supporting Evidence: Applications to Clinical Risk Prediction
The impact of machine learning models on healthcare will depend on the d...
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11/05/2020
Teaching with Commentaries
Effective training of deep neural networks can be challenging, and there...
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09/19/2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
An important research direction in machine learning has centered around ...
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11/23/2018
Model-Based Reinforcement Learning for Sepsis Treatment
Sepsis is a dangerous condition that is a leading cause of patient morta...
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07/03/2018
Behaviour Policy Estimation in Off-Policy Policy Evaluation: Calibration Matters
In this work, we consider the problem of estimating a behaviour policy f...
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05/23/2018
Representation Balancing MDPs for Off-Policy Policy Evaluation
We study the problem of off-policy policy evaluation (OPPE) in RL. In co...
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11/27/2017
