Synthetic data in biomedicine via generative artificial intelligence
The creation and application of data in biomedicine and healthcare often face privacy
constraints, bias, distributional shifts, underrepresentation of certain groups and data …
constraints, bias, distributional shifts, underrepresentation of certain groups and data …
Causal Deep Learning: Encouraging Impact on Real-world Problems Through Causality
Causality has the potential to truly transform the way we solve a large number of real-world
problems. Yet, so far, its potential largely remains to be unlocked as causality often requires …
problems. Yet, so far, its potential largely remains to be unlocked as causality often requires …
Advances in Reinforcement Learning for Decision Support
D Jarrett - 2023 - repository.cam.ac.uk
On the level of decision support, most algorithmic problems encountered in machine
learning are instances of pure prediction or pure automation tasks. This dissertation takes a …
learning are instances of pure prediction or pure automation tasks. This dissertation takes a …