Daniel Sheldon

Active Measurement: Efficient Estimation at Scale

On Flow-based Generative Models for Probabilistic Forecasting

Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models

Gaussian Process Bandits for Top-k Recommendations

Efficient and Private Marginal Reconstruction with Local Non-Negativity