Efficiently capturing the long-range patterns in sequential data sources...
Traditional models of glucose-insulin dynamics rely on heuristic
paramet...
Importance weighting is a classic technique to handle distribution shift...
We consider the problem of probabilistic forecasting over categories wit...
State-of-the-art methods for scalable Gaussian processes use iterative
a...
Reasoning about the physical world requires models that are endowed with...
Gaussian processes (GPs) are flexible models with state-of-the-art
perfo...