Conference
Disciplined convex stochastic programming: A new framework for stochastic optimization
Disciplined convex stochastic programming: A new framework for stochastic optimization
Hierarchical modeling of systems with similar components
Optimal Planning and Learning in Uncertain Environments for the Management of Wind Farms
Sparse Gaussian conditional random fields: Algorithms, theory, and application to energy forecasting
Approximate inference in additive factorial HMMs with application to energy disaggregation
A large-scale study on predicting and contextualizing building energy usage
The fixed points of off-policy TD
The fixed points of off-policy TD
Energy disaggregation via discriminative sparse coding
Energy disaggregation via discriminative sparse coding
Hierarchical apprenticeship learning, with application to quadruped locomotion
Hierarchical apprenticeship learning, with application to quadruped locomotion