Statistical Learning
Supplementary Material: Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging Summary of the proposed algorithms and derived update rules
Choose a random initial value for p as well as h, and construct H = diag( h) and P = diag( p) .
Causal Effect Inference for Structured Treatments
In many cases, treatments are naturally structured .
Distributed Distillation for On-Device Learning
Transmitting model weights requires huge communication overhead and means only devices with identical model architectures can be included.
Modular Gaussian Processes for Transfer Learning Pablo Moreno-Muñoz Antonio Artés-Rodríguez Mauricio A. Álvarez Section for Cognitive Systems, Technical University of Denmark (DTU)
Extensive results illustrate the usability of our framework in large-scale and multi-task experiments, also compared with the exact inference methods in the literature.
