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06/12/2023
Adaptive interventions for both accuracy and time in AI-assisted human decision making
In settings where users are both time-pressured and need high accuracy, ...
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12/01/2022
Modeling Mobile Health Users as Reinforcement Learning Agents
Mobile health (mHealth) technologies empower patients to adopt/maintain ...
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09/23/2022
Differentially private partitioned variational inference
Learning a privacy-preserving model from distributed sensitive data is a...
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02/24/2022
Partitioned Variational Inference: A Framework for Probabilistic Federated Learning
The proliferation of computing devices has brought about an opportunity ...
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06/16/2021
Knowledge-Adaptation Priors
Humans and animals have a natural ability to quickly adapt to their surr...
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11/24/2020
Generalized Variational Continual Learning
Continual learning deals with training models on new tasks and datasets ...
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04/29/2020
Continual Deep Learning by Functional Regularisation of Memorable Past
Continually learning new skills is important for intelligent systems, ye...
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11/24/2019
Differentially Private Federated Variational Inference
In many real-world applications of machine learning, data are distribute...
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06/06/2019
Practical Deep Learning with Bayesian Principles
Bayesian methods promise to fix many shortcomings of deep learning, but ...
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05/06/2019
Improving and Understanding Variational Continual Learning
In the continual learning setting, tasks are encountered sequentially. T...
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11/27/2018