Discovering Hidden Variables in Noisy-Or Networks
Game Theory
Bayesian learning of sparse factor loadings
Active Inference and Uncertainty
Inferring Latent Functions with Gaussian Processes in Differential Equations
Gaussian Processes and Gene Regulation
Probabilistic Integration for Uncertainty Quantification in Differential Equation Models
Learning Graphical Model Structure with Sparse Bayesian Factor Models and Process Priors
Regularization Paths and Coordinate Descent
Duality Between Estimation and Control