7

On discretisation drift and smoothness regularisation in neural network training
The deep learning recipe of casting real-world problems as mathematical optimisation and tackling the optimisation by training deep …
Cite PDF
Gaussian Processes for Hybridisation of Analytical and Data-Driven Approaches for Design of Experiments
PDF Cite
Deep Gaussian Processes: Advances in Models and Inference
Hierarchical models are certainly in fashion these days. It seems difficult to navigate the field of machine learning without …
PDF Cite
Practical Challenges of Learning andRepresentation for Large Graphs
An ever increasing amount of the humanity’s information is being stored in large graphs. The world wide web, digital social networks, …
PDF Cite
Efficient Reinforcement Learning using Gaussian Processes
PDF Cite
An Online Computation Approach to Optimal Finite-Horizon Control of Nonlinear Stochastic Systems
PDF Cite