A Bayesian Approach to Occupancy Mapping with Uncertain Inputs
A Tour of Modern "Image Processing"
Approximate Inference
Unifying Divergence Minimization and Statistical Inference via Convex Duality
Sparse Multi-output Gaussian Processes
Learning Vector Fields with Spectral Filtering
Normalized kernel-weighted random measures
Machine Learning in Computational Biology (the frequentist approach)
An Overview of Compressed Sensing and Sparse Signal Recovery via L1 Minimization
Seeking Interpretable Models for High Dimensional Data